This document discusses the selection and specifications of the Multiwii Pro flight controller board used for the Bionicopter project. Key details include the board weighing 17 grams and interfacing with sensors like GPS and cameras. It also describes loading the firmware, configuring options, calibrating sensors and motors, and testing the first flight.
This document provides details on a student project to design a human-carrying ornithopter (mechanical flying machine) that is controlled via radio frequency and has surveillance capabilities. The ornithopter's wings are designed based on bats, beetles, and dragonflies. It uses various small mechanical and electrical components like gears, springs, motors, a wireless camera, microcontroller, and battery. The microcontroller helps process input from sensors to control the ornithopter. The document provides specifications of the components and concludes that ornithopter design remains an obscure area of research compared to fixed-wing aircraft.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
#20 SUSB Expo 2014 The Art and Science of Unmanned SystemssUAS News
This document discusses the history and development of unmanned aircraft systems and drones. It provides examples of early pioneering work in wireless control of boats and airships in the 1890s and early experiments with unmanned bomber planes in World War I. It also summarizes Bramor's modern drones, payloads, and applications for tasks like aerial mapping, surveillance, infrastructure inspection, and environmental monitoring. Safety features like automatic parachute landings are also mentioned.
Chomp is a Shenzhen based Educational Electronics Design House, with 80 more Engineers specializing in Educational toys, Electronic Toys, Toy Solutions, Electronic Educational Toys for more than 14 years. Till now, our main products include kid products like kid reading pen/kid tablet/story teller solution and RC electronics like Quadcopter.. We believe for kids, playing is learning !
Quadcopter navigation using aakash tablet with on board image processingD Yogendra Rao
Final Presentation for Team Garuda . This quadcopter and its ground control station(GCS) was built in the Integrated Development Lab during my summer internship at IIT Bombay .
https://www.youtube.com/watch?v=0966YNqcisg.
1) The document presents a prototype for an air ambulance drone to assist traditional ambulances in saving lives faster by reaching emergencies earlier and monitoring multiple health parameters of patients.
2) The hexacopter drone design is described, which uses 6 motors and propellers for stability and thrust to carry a first aid kit and measure patient temperature, heart rate, and heartbeat to provide doctors vital signs information.
3) The construction of the hexacopter drone is explained, including its frame, motors, batteries, flight controller and other components to enable it to fly and carry medical supplies to emergencies more quickly than road-bound ambulances.
The document describes a project to create an autonomous flying surveillance robot (FSR) that can operate indoors and outdoors under any weather conditions. A group of 4 students from Lokmanya Tilak College of Engineering are developing the FSR. It will use a camera for aerial surveillance and inspection. Sensors and a PID control system will stabilize the flying robot and make it easier to control. The FSR has applications in hazardous environments, defense, security, inspections, and more.
Steve AuCoin & James Thompson's presentation at Geomatics Atlantic 2012 (www.geomaticsatlantic.com) in Halifax, June 2012. More session details at http://lanyrd.com/2012/geomaticsatlantic2012/sryrx/ .
This document provides details on a student project to design a human-carrying ornithopter (mechanical flying machine) that is controlled via radio frequency and has surveillance capabilities. The ornithopter's wings are designed based on bats, beetles, and dragonflies. It uses various small mechanical and electrical components like gears, springs, motors, a wireless camera, microcontroller, and battery. The microcontroller helps process input from sensors to control the ornithopter. The document provides specifications of the components and concludes that ornithopter design remains an obscure area of research compared to fixed-wing aircraft.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
#20 SUSB Expo 2014 The Art and Science of Unmanned SystemssUAS News
This document discusses the history and development of unmanned aircraft systems and drones. It provides examples of early pioneering work in wireless control of boats and airships in the 1890s and early experiments with unmanned bomber planes in World War I. It also summarizes Bramor's modern drones, payloads, and applications for tasks like aerial mapping, surveillance, infrastructure inspection, and environmental monitoring. Safety features like automatic parachute landings are also mentioned.
Chomp is a Shenzhen based Educational Electronics Design House, with 80 more Engineers specializing in Educational toys, Electronic Toys, Toy Solutions, Electronic Educational Toys for more than 14 years. Till now, our main products include kid products like kid reading pen/kid tablet/story teller solution and RC electronics like Quadcopter.. We believe for kids, playing is learning !
Quadcopter navigation using aakash tablet with on board image processingD Yogendra Rao
Final Presentation for Team Garuda . This quadcopter and its ground control station(GCS) was built in the Integrated Development Lab during my summer internship at IIT Bombay .
https://www.youtube.com/watch?v=0966YNqcisg.
1) The document presents a prototype for an air ambulance drone to assist traditional ambulances in saving lives faster by reaching emergencies earlier and monitoring multiple health parameters of patients.
2) The hexacopter drone design is described, which uses 6 motors and propellers for stability and thrust to carry a first aid kit and measure patient temperature, heart rate, and heartbeat to provide doctors vital signs information.
3) The construction of the hexacopter drone is explained, including its frame, motors, batteries, flight controller and other components to enable it to fly and carry medical supplies to emergencies more quickly than road-bound ambulances.
The document describes a project to create an autonomous flying surveillance robot (FSR) that can operate indoors and outdoors under any weather conditions. A group of 4 students from Lokmanya Tilak College of Engineering are developing the FSR. It will use a camera for aerial surveillance and inspection. Sensors and a PID control system will stabilize the flying robot and make it easier to control. The FSR has applications in hazardous environments, defense, security, inspections, and more.
Steve AuCoin & James Thompson's presentation at Geomatics Atlantic 2012 (www.geomaticsatlantic.com) in Halifax, June 2012. More session details at http://lanyrd.com/2012/geomaticsatlantic2012/sryrx/ .
Autonomous military robot with short range radar and guidance system SatyamShivansh
The document describes a project to develop an autonomous military robot with short range radar and guidance system. The robot is intended to perform dangerous tasks like defusing bombs or scouting instead of risking human lives. It uses cameras, ultrasonic sensors, a microwave radar sensor and GPS for navigation and targeting. The robot can be controlled remotely via a control station and transmit live video feeds. The project aims to build a prototype robot and integrate technologies like motion tracking and a weapon mechanism to demonstrate its military capabilities.
This document describes a proposed water surveillance robot. The robotic section would contain a boat with propellers driven by DC motors to allow for movement, an ultrasonic sensor to measure distance to intruders, and a laser gun that could be activated to stop intruders. The control section would allow an operator to control the boat's movement and laser gun through a wireless RF connection to the robotic section. The robot is intended to allow single-handed monitoring of water areas and to potentially help search for and rescue victims in flooded areas.
This document discusses the development of an unmanned aerial vehicle (UAV) that can hold a stationary position, pursue targets, receive and transmit data wirelessly, move through predefined plans using GPS, balance itself using a gyroscope and accelerometer, avoid obstacles using ultrasonic sensors, and transmit video to a base station. The UAV is a quadrotor VTOL aircraft designed by students and supervised by several professors and engineers. It includes major components like motors, propellers, batteries, an electronics board, sensors, and a microcontroller for autonomous control.
UAVs can be used to conduct magnetic surveys to map variations in the Earth's magnetic field, helping understand geology. UAV magnetic surveys are cheaper than airborne or ground surveys and can access remote or dangerous areas. However, UAV use is limited by aviation regulations and payload capacity. GEM Systems has developed a lightweight potassium magnetometer called the GSMP-35U that is well-suited for UAV magnetic surveys due to its high sensitivity, accuracy and small size. The document provides details on the GSMP-35U's specifications and integration options with different UAV systems.
The document discusses the black box, which consists of the flight data recorder (FDR) and cockpit voice recorder (CVR). The FDR records parameters like time, pressure, speed, and the positions of controls. The CVR records audio from the cockpit for investigating accidents. Black boxes originally used magnetic tapes but now use more advanced solid state technology allowing for longer recording durations. Their recorders are powered by the plane's engines and contain underwater locator beacons to help with recovery after crashes. Black boxes provide vital information for investigating aviation accidents and improving safety.
Presentation for final project in UWB CSS 427, Spring 2013. Covers the process and leanings for creating a quadcopter using the Freescale Freedom board.
This document summarizes a student project presentation on a quadcopter drone. It includes an introduction to quadcopters, the basic materials required including circuit boards, motors, batteries, and transmitters. It then explains the working principle of how quadcopters fly through control of motor speed and direction. Diagrams of the circuit board, components, and quadcopter layout are displayed. Applications such as photography, delivery, and military use are listed. Both advantages like surveillance and disaster response, and disadvantages like privacy concerns are discussed.
The document discusses a Parrot AR Drone 2.0 quadcopter and its features such as gyroscopes, accelerometers, magnetometers, and cameras. It has a 12-minute maximum flight time and auto-stabilization capabilities. The objectives are to create a science fair presentation on gesture-based control of the drone using a Kinect and to supplement an existing Python library to support long-term applications like photography and data collection using the drone.
This PPT consists of discussion on certain old and new technologies used in today's most popular sport in the world "Cricket".
(Please play it in the "Slideshow" mode to understand and feel the better experience of this particular PPT as it contains various GIFs and video for better understanding)
The Curiosity Plus quadcopter UAV is a small, portable drone designed for civilian and military surveillance use. It has an indigenous design and components for low maintenance costs, including an autopilot and software developed in India. Key features include a 38 minute maximum flight time, 4.5 km range, HD and infrared cameras, and autonomous or manual operation from a Windows-based ground control system within a 10 km radius. It is suitable for applications like border patrolling, pipeline monitoring, and search and rescue.
This project is about controlling the wireless camera mounted robot through PC using RF module at the same thin to pick any light object & place it.
-Zeenat Saba Khan
The document discusses the black boxes, or flight recorders, that are installed on airplanes. It notes that there are actually two separate recorders: a flight data recorder that collects operational data from sensors, and a cockpit voice recorder that records audio from microphones in the pilot and co-pilot headsets and cockpit. The recorders are designed to survive crashes and help investigators determine the flight path, speed, and what occurred onboard based on the recorded data and audio. Their findings can help identify the cause of accidents.
Session presented in the Combined [nullDelhi + OWASPDelhi] webinar on 24th May.
Watch the webinar here - https://www.youtube.com/watch?v=jmzfdw-UYC0
An air gapped environment is described as “computer or network that has
no network interfaces, either wired or wireless, connected to outside network.” In this case, side channels and proximity are leveraged to eavesdrop air gapped systems. A case study showing practical use case of sniffing is also discussed.
Link to the Webinar - https://youtu.be/jmzfdw-UYC0
This document discusses airgaps and various attack vectors that can be used to breach airgaps. It defines an airgap as physically isolating critical systems from external networks to protect them. It then describes several covert channels that have been used in case studies to exfiltrate data from airgapped systems, including acoustic, electromagnetic, light, thermal and magnetic channels. Two case studies are presented, one using RF signals from an HDMI cable and another using power analysis to determine cryptographic algorithms. The document concludes with recommendations for mitigation techniques like masking signals, Faraday cages, shielding and random clock cycles.
Curiosity Plus Quadcopter UAV is small category UAV designed for both civilian and military use. The craft is portable and can be operated in most terrains with small clearances because of portable GCS. Can be transported by personnels or in a small vehicle. The airframe and part avionics have been designed and manufactured in India so the components and maintenance cost would be bare minimum. The autopilot has been developed in India so upgrade of software would be a simple. The propulsion system is all electric so the eld operations are simple. The GCS software and the autopilot software are windows based making it easier for most would be customers to use the system. The operational cost of the craft is bare minimum thus providing cost effective surveillance systems as compared to ground based vehicles.
Characteristics of Hand Transmitted Vibration through Steering Wheel of Tract...IJERA Editor
The paper presents the transmission of vibrations through the steering wheel of the tractor during the ploughing
field. The measurements of vibration were carried out on the tractor randomly chosen. An investigation was
conducted to determine the transmission of vibration from the steering wheel of the tractor to the wrists and
upper arms of the operator under actual field conditions during ploughing field. The vibrations transmitted
through the steering wheel of the tractor to the hand of the operator was measured and the frequency spectra for
the chosen working conditions were obtained. The maximum transmissibility of vibration were observed in the
first two frequency interval (in Hz) i.e. 1-20 and 20-40. The vibration, which is transmitted from the steering
wheel of the tractor to the wrists, arms and shoulders causes discomfort to the operator and results in early
fatigue.
A Modified Radar With Missile Tracking and Automatic Destructionsanjay kushwaha
This project is to plan and build programmed target following and destroy framework. The framework is intended to recognize the objective moving in different directions. The crushing framework moves consequently toward missile and fires it after tracking the objective.
This document describes a project to design a multi-purpose security robot. The robot is intended to help watch industrial premises and alert for security risks. It can detect landmines and unauthorized entry using sensors, and has automatic night vision and a laser gun. The robot is controlled wirelessly via a PC using speech commands for ease of use. It discusses the hardware components including a microcontroller, sensors, motors and more. The robot has potential applications in military surveillance, power plant inspections, and bomb detection.
The document discusses the history and purpose of the black box flight recorder. It begins with an introduction to the black box and its role in recording aircraft performance parameters. It then discusses the history of the black box, invented by Dr. David Warren. The main components of the black box are the flight data recorder and cockpit voice recorder. The flight data recorder tracks aircraft systems data, while the cockpit voice recorder tracks conversations in the cockpit. Black boxes are designed to survive crashes through rigorous testing and are able to transmit location signals to help with retrieval. The information recovered from black boxes is crucial for investigating aircraft accidents and identifying potential causes.
Surveillance technology has advanced from manual and tedious ground-level video capture limited to where people could travel, to elevated but limited automatic capture, and now to continuous 24/7 video capture of any point on Earth using swarm mini-satellites. Key developments included improved image sensors, broadband communication, avionics, inertial sensors, materials, batteries, solar panels and lower-cost electronics that have enabled more functions in smaller packages using less power.
This document describes a mini project on a flying wing mechanism conducted by students at Vishwakarma Institute of Technology in Pune, India. It provides an introduction to ornithopters, which are aircraft that fly by flapping wings in imitation of birds. The project involved designing a mechanism to power flapping wings based on research into wing design principles and prior ornithopter projects from around the world. The goal was to apply knowledge gained from studying flapping flight aerodynamics and biomimicry of bird wing motions.
Autonomous military robot with short range radar and guidance system SatyamShivansh
The document describes a project to develop an autonomous military robot with short range radar and guidance system. The robot is intended to perform dangerous tasks like defusing bombs or scouting instead of risking human lives. It uses cameras, ultrasonic sensors, a microwave radar sensor and GPS for navigation and targeting. The robot can be controlled remotely via a control station and transmit live video feeds. The project aims to build a prototype robot and integrate technologies like motion tracking and a weapon mechanism to demonstrate its military capabilities.
This document describes a proposed water surveillance robot. The robotic section would contain a boat with propellers driven by DC motors to allow for movement, an ultrasonic sensor to measure distance to intruders, and a laser gun that could be activated to stop intruders. The control section would allow an operator to control the boat's movement and laser gun through a wireless RF connection to the robotic section. The robot is intended to allow single-handed monitoring of water areas and to potentially help search for and rescue victims in flooded areas.
This document discusses the development of an unmanned aerial vehicle (UAV) that can hold a stationary position, pursue targets, receive and transmit data wirelessly, move through predefined plans using GPS, balance itself using a gyroscope and accelerometer, avoid obstacles using ultrasonic sensors, and transmit video to a base station. The UAV is a quadrotor VTOL aircraft designed by students and supervised by several professors and engineers. It includes major components like motors, propellers, batteries, an electronics board, sensors, and a microcontroller for autonomous control.
UAVs can be used to conduct magnetic surveys to map variations in the Earth's magnetic field, helping understand geology. UAV magnetic surveys are cheaper than airborne or ground surveys and can access remote or dangerous areas. However, UAV use is limited by aviation regulations and payload capacity. GEM Systems has developed a lightweight potassium magnetometer called the GSMP-35U that is well-suited for UAV magnetic surveys due to its high sensitivity, accuracy and small size. The document provides details on the GSMP-35U's specifications and integration options with different UAV systems.
The document discusses the black box, which consists of the flight data recorder (FDR) and cockpit voice recorder (CVR). The FDR records parameters like time, pressure, speed, and the positions of controls. The CVR records audio from the cockpit for investigating accidents. Black boxes originally used magnetic tapes but now use more advanced solid state technology allowing for longer recording durations. Their recorders are powered by the plane's engines and contain underwater locator beacons to help with recovery after crashes. Black boxes provide vital information for investigating aviation accidents and improving safety.
Presentation for final project in UWB CSS 427, Spring 2013. Covers the process and leanings for creating a quadcopter using the Freescale Freedom board.
This document summarizes a student project presentation on a quadcopter drone. It includes an introduction to quadcopters, the basic materials required including circuit boards, motors, batteries, and transmitters. It then explains the working principle of how quadcopters fly through control of motor speed and direction. Diagrams of the circuit board, components, and quadcopter layout are displayed. Applications such as photography, delivery, and military use are listed. Both advantages like surveillance and disaster response, and disadvantages like privacy concerns are discussed.
The document discusses a Parrot AR Drone 2.0 quadcopter and its features such as gyroscopes, accelerometers, magnetometers, and cameras. It has a 12-minute maximum flight time and auto-stabilization capabilities. The objectives are to create a science fair presentation on gesture-based control of the drone using a Kinect and to supplement an existing Python library to support long-term applications like photography and data collection using the drone.
This PPT consists of discussion on certain old and new technologies used in today's most popular sport in the world "Cricket".
(Please play it in the "Slideshow" mode to understand and feel the better experience of this particular PPT as it contains various GIFs and video for better understanding)
The Curiosity Plus quadcopter UAV is a small, portable drone designed for civilian and military surveillance use. It has an indigenous design and components for low maintenance costs, including an autopilot and software developed in India. Key features include a 38 minute maximum flight time, 4.5 km range, HD and infrared cameras, and autonomous or manual operation from a Windows-based ground control system within a 10 km radius. It is suitable for applications like border patrolling, pipeline monitoring, and search and rescue.
This project is about controlling the wireless camera mounted robot through PC using RF module at the same thin to pick any light object & place it.
-Zeenat Saba Khan
The document discusses the black boxes, or flight recorders, that are installed on airplanes. It notes that there are actually two separate recorders: a flight data recorder that collects operational data from sensors, and a cockpit voice recorder that records audio from microphones in the pilot and co-pilot headsets and cockpit. The recorders are designed to survive crashes and help investigators determine the flight path, speed, and what occurred onboard based on the recorded data and audio. Their findings can help identify the cause of accidents.
Session presented in the Combined [nullDelhi + OWASPDelhi] webinar on 24th May.
Watch the webinar here - https://www.youtube.com/watch?v=jmzfdw-UYC0
An air gapped environment is described as “computer or network that has
no network interfaces, either wired or wireless, connected to outside network.” In this case, side channels and proximity are leveraged to eavesdrop air gapped systems. A case study showing practical use case of sniffing is also discussed.
Link to the Webinar - https://youtu.be/jmzfdw-UYC0
This document discusses airgaps and various attack vectors that can be used to breach airgaps. It defines an airgap as physically isolating critical systems from external networks to protect them. It then describes several covert channels that have been used in case studies to exfiltrate data from airgapped systems, including acoustic, electromagnetic, light, thermal and magnetic channels. Two case studies are presented, one using RF signals from an HDMI cable and another using power analysis to determine cryptographic algorithms. The document concludes with recommendations for mitigation techniques like masking signals, Faraday cages, shielding and random clock cycles.
Curiosity Plus Quadcopter UAV is small category UAV designed for both civilian and military use. The craft is portable and can be operated in most terrains with small clearances because of portable GCS. Can be transported by personnels or in a small vehicle. The airframe and part avionics have been designed and manufactured in India so the components and maintenance cost would be bare minimum. The autopilot has been developed in India so upgrade of software would be a simple. The propulsion system is all electric so the eld operations are simple. The GCS software and the autopilot software are windows based making it easier for most would be customers to use the system. The operational cost of the craft is bare minimum thus providing cost effective surveillance systems as compared to ground based vehicles.
Characteristics of Hand Transmitted Vibration through Steering Wheel of Tract...IJERA Editor
The paper presents the transmission of vibrations through the steering wheel of the tractor during the ploughing
field. The measurements of vibration were carried out on the tractor randomly chosen. An investigation was
conducted to determine the transmission of vibration from the steering wheel of the tractor to the wrists and
upper arms of the operator under actual field conditions during ploughing field. The vibrations transmitted
through the steering wheel of the tractor to the hand of the operator was measured and the frequency spectra for
the chosen working conditions were obtained. The maximum transmissibility of vibration were observed in the
first two frequency interval (in Hz) i.e. 1-20 and 20-40. The vibration, which is transmitted from the steering
wheel of the tractor to the wrists, arms and shoulders causes discomfort to the operator and results in early
fatigue.
A Modified Radar With Missile Tracking and Automatic Destructionsanjay kushwaha
This project is to plan and build programmed target following and destroy framework. The framework is intended to recognize the objective moving in different directions. The crushing framework moves consequently toward missile and fires it after tracking the objective.
This document describes a project to design a multi-purpose security robot. The robot is intended to help watch industrial premises and alert for security risks. It can detect landmines and unauthorized entry using sensors, and has automatic night vision and a laser gun. The robot is controlled wirelessly via a PC using speech commands for ease of use. It discusses the hardware components including a microcontroller, sensors, motors and more. The robot has potential applications in military surveillance, power plant inspections, and bomb detection.
The document discusses the history and purpose of the black box flight recorder. It begins with an introduction to the black box and its role in recording aircraft performance parameters. It then discusses the history of the black box, invented by Dr. David Warren. The main components of the black box are the flight data recorder and cockpit voice recorder. The flight data recorder tracks aircraft systems data, while the cockpit voice recorder tracks conversations in the cockpit. Black boxes are designed to survive crashes through rigorous testing and are able to transmit location signals to help with retrieval. The information recovered from black boxes is crucial for investigating aircraft accidents and identifying potential causes.
Surveillance technology has advanced from manual and tedious ground-level video capture limited to where people could travel, to elevated but limited automatic capture, and now to continuous 24/7 video capture of any point on Earth using swarm mini-satellites. Key developments included improved image sensors, broadband communication, avionics, inertial sensors, materials, batteries, solar panels and lower-cost electronics that have enabled more functions in smaller packages using less power.
This document describes a mini project on a flying wing mechanism conducted by students at Vishwakarma Institute of Technology in Pune, India. It provides an introduction to ornithopters, which are aircraft that fly by flapping wings in imitation of birds. The project involved designing a mechanism to power flapping wings based on research into wing design principles and prior ornithopter projects from around the world. The goal was to apply knowledge gained from studying flapping flight aerodynamics and biomimicry of bird wing motions.
The document discusses ornithopters, aircraft that fly by flapping wings like birds. It describes the wing flapping mechanism, which uses a crank and connecting rod system to convert rotary motion into up and down wing flapping. Key components include dual crank systems for symmetrical wing movement and a tail for stability and steering. The ornithopter works by flapping its own wings to generate both lift and thrust, replacing a propeller. Potential applications include spying and studying bird flight.
The document introduces an ornithopter project created by students. It provides background that Leonardo da Vinci envisioned ornithopters in 1485 and discusses the history of human flight. The ornithopter could have applications for forestry monitoring, security, and maps. Its advantages include using solar energy and carrying sensors.
This document describes an ornithopter project created by a group of students. It provides background on ornithopters, including that they are aircraft that fly by flapping wings like birds. It discusses the aerodynamics of flapping flight and how designers seek to mimic birds and insects. The document also outlines the history of ornithopters, current projects worldwide, and details of the students' model including its components, mechanism, and potential applications such as surveillance.
Effect of Design Parameters on OrnithopterLourd Arun Raj
This document discusses the design parameters of an ornithopter (a flapping wing aircraft). It first provides background on ornithopters and how they are modeled using blade element analysis. It then describes the specific parameters studied: forward speed, flapping frequency, total flapping angle, and incidence angle. The results show that lift is most influenced by incidence angle and forward speed, thrust is most affected by flapping frequency and forward speed, and drag increases with all parameters but is most impacted by total flapping angle.
Micro air vehicles and its flapping wing mechanism 000Ganesh Bv
The document discusses micro air vehicles that use flapping wing mechanisms. These small flying vehicles can perform missions that are too dangerous for humans, such as reconnaissance in constrained environments. Rather than using propellers, they generate lift through a more efficient flapping wing motion based on Weis Fogh's model. This allows them to operate at very low speeds.
The document summarizes a capstone design project to develop a quadcopter surveillance platform. A team designed and built a semi-autonomous quadcopter that could carry cameras for commercial inspections of structures. Through testing, the quadcopter met most requirements including endurance, payload weight, and ground control range. Lessons from crashes led to design changes and the quadcopter successfully completed inspection missions. The project was completed under budget with opportunities identified to improve gimbal stability, video quality, and landing gear durability.
ON THE DEVELOPMENT OF THE
STRENGTH OF MATERIALS LABORATORY:
A NON-EE/CS iLAB FOR STATIC BENDING TEST
(final year project thesis - presented by ISHOLA Babatunde Isaac, February, 2011)
This document provides an overview of flight controllers, including what they are, how to choose one, types of flight controllers, how they work, and how to program and use them. A flight controller is a circuit board that reads sensor data and user commands to control motor speed and balance multicopters. Key factors in choosing a flight controller include its functions, required features, aircraft compatibility, and ease of tuning. Common types are GPS-enabled controllers that support features like return-to-home and non-GPS controllers without those advanced functions. The document also outlines identifying component polarities, programming, arming, and safety checks for flight controllers.
This document provides an overview of the design and fabrication of a tricopter drone. It describes the motivation to build the tricopter with a low budget and light weight. The key components of the tricopter include three brushless motors, an Atmega168PA controller board, receiver, batteries, and a glass fiber frame. Challenges in the design included balancing the tricopter and integrating the gyroscope and accelerometer. Testing involved mechanical design, propeller selection, electrical connections, and programming the controller board. The conclusion discusses potential applications in military, industrial, and commercial uses if further funding and experimental analysis are conducted.
This document describes a technique called Booting Booster (BB) to reduce the booting time of consumer electronics devices. BB includes kernel-space and user-space components that work together to optimize the booting process. It uses approaches like an improved RCU synchronization algorithm, isolating critical boot services into a group, and lightweight initialization to reduce the overall booting time from 8.1 seconds to 3.5 seconds based on tests of a Samsung smart TV.
This document outlines the preliminary study for a bathymetry ME thesis project. It discusses several key areas including boat equipment needed, communicating with the boat, using DGPS for more precise GPS measurements, sources of error from GPS, IMUs and waves, building a fiber optic gyroscope, and using a passive gyroscope to stabilize the boat and attenuate wave movements. It also includes process flow charts and lists several unanswered questions still needing resolution around equipment choices, communication technologies, perturbation modeling, boat dimensions and calibration of the fiber optic gyroscope.
This document discusses using Docker containers for continuous integration testing of Neutron plugins. It notes that testing all 38 Neutron vendor plugins is impossible, and outlines efforts to establish third-party CI rules. It then describes problems with using virtual machines for testing, such as slow startup times and performance issues. As an alternative, it proposes running OpenStack on Docker containers to allow running tests in isolated, disposable environments. It details fixes needed to run OpenStack with Docker and use Neutron ML2 plugins. Jenkins would launch test scripts within containers, binding host volumes to easily access logs. This allows Neutron API tests to be run in parallel across container instances.
This document describes the development of an embedded Linux-based navigation system for an autonomous underwater vehicle (AUV). It discusses interfacing a single board computer (SBC) with navigation sensors like an inertial measurement unit (IMU) and GPS. It also describes implementing a Kalman filter on the SBC to fuse sensor data and estimate the AUV's position. Software was developed on the SBC to log and display sensor outputs. The system provides low-cost navigation for AUVs and can be used for marine research and applications like pipeline inspection.
Radio Frequency Test Stands for Remote ControllersUjjal Dutt, PMP
The document describes the development of four test stands for testing radio frequency remote control components using LabVIEW and LabVIEW Test Executive. Key challenges included the complexity of tests, parallel product and test stand development, and managing a large team. Test stands were developed for transmitter PCB, receiver PCB, receiver assembly, and transmitter assembly. LabVIEW Test Executive provided an easily customizable solution that met requirements like automatic test sequencing and configurable security levels. Individual tests were developed as LabVIEW VIs and integrated into the test sequence using state queues.
There is a lot of talk of how drones are bad for privacy, things can get really interesting when you combine your Xcopter with WiFi, air traffic control, video cameras and can actually become a remote controlled turret. Interesting or scary, you decide.
The document describes an unmanned aerial vehicle (UAV) that can be controlled remotely from the ground using a control station. It uses GPS for navigation assistance and has a wireless camera to transmit live video. The UAV is built using technologies like GPS for location data, Zigbee for wireless control and communication, and an ATmega32 microcontroller. It discusses the aerial section with the aircraft, GPS, Zigbee transmitter and camera, and the ground section with Zigbee receiver, PC, microcontroller and LCD display. Hardware interfacing is done using MATLAB.
On-Demand Image Resizing Extended - External Meet-upJonathan Lee
From part of the monolith to containerized micro-service.
Slides from my presentation at DockerCon 2017 on our migration from an in-house image resizing solution in PHP / Imagemagick to leveraging Docker and an open source third party solution.
http://thumbor.org/
https://www.docker.com/
https://docs.docker.com/engine/swarm/
PowerDRC/LVS is designed to process integrated circuit (IC) designs of various size at technology nodes up to 28nm, with run times which are fast and completely predictable. In May 2017 POLYTEDA announced the general availability of PowerDRC/LVS 2.3.
www.polyteda.com
Testing the Scalability of a Robust IoT System with ConfidenceHiveMQ
Discovering scalability constraints of IoT of devices’ connectivity before production is challenging – especially in a massively distributed, ever-changing environment. Unlike application testing scenarios, IoT testing scenarios are difficult to replicate and simulate as IoT devices show multiple complex behavioral patterns.
HiveMQ Swarm IoT Testing tool solves the very challenge of testing the performance, scalability, and reliability of IoT solutions that use MQTT as its messaging backbone.
In this webinar, Ian Skerrett from HiveMQ introduced the powerful features of HiveMQ Swarm and presented how you can confidently identify constraints in your IoT system before it is deployed into production.
The highlight of the webinar was a live demo from Yannick Weber, who demonstrated how enterprises can leverage HiveMQ Swarm to evaluate the scalability of IoT systems with real use case scenarios.
About the Speakers.
Ian Skerrett is Vice President of Marketing at HiveMQ. He has over 25 years of experience in the software industry and is one of the top experts for creating open source strategies for enterprise software products. He was instrumental in creating the Eclipse IoT open source community with more than 15 different open source projects that provide the building blocks developers require for building IoT solutions. He is also a frequent speaker on IoT and MQTT.
Yannick Weber is a Software Engineer at HiveMQ, he works for the Tools and Extensions Team. Yannick is the maintainer of the HiveMQ Testcontainer.
To watch the webinar:
https://www.hivemq.com/webinars/testing-the-scalability-of-a-robust-iot-system-with-confidence/
The document summarizes a student project to build a quadcopter drone. It includes sections on the team members, the goals of the project to build a portable quadcopter with 1 hour battery life and a 2 mile communication range. It discusses exploring different quadcopter structures and electronics. Systems of the quadcopter include power, hardware, software. Testing of individual components and a GUI in C# for control are mentioned. Risks include integration challenges and pushing the quadcopter beyond its limits. A budget outlines costs of components like the transmitter, battery, motors, and total projected costs. Plans for next semester include finishing the GUI and exploring new hardware.
The main objective of capstone project is to design and develop a stable flying drone as a model
for general purposes that can be used for deliveries. The drone should be able to support lifting a
phone or similar weight, and some minor modifications should be applied to it. The drone could
be replaced in such a way that would fit any other application. I started the introduction of my
report by defining what a quadcopter is, simply because my drone’s flying system will be in that
form in which a brushless motor will be inserted in each arm. As for the control part, I will be
using a remote controller in which a transmitter will be inserted inside that would communicate
the receiver placed in the drone.
For experts who need to make sure to choose the best future-proof equipment that guarantees the accuracy and signal quality, streamlines processes and facilitates full traceability.
Introduction to Proceq UT8000, the portable and truly user-friendly Flaw Detector for ultrasonic testing of metal and composite parts.
Embedded Systems Online Training | Imagine lifeImagine life
Learn Embedded systems by the course embedded system online training course provided by the imaginelive(edu)pvt ltd through imaginelife.in.
we (imaginelife) provide embedded systems online training and embedded systems e learning course ,online live classes.
MIT researchers have developed highly efficient quadruped robots like the Cheetah that can run at speeds up to 6m/s. The Cheetah uses a proprioceptive actuation system with high torque density motors to achieve high force control bandwidth over 120Hz. Its parallelized control system with multicore CPUs and FPGAs allows control frequencies up to 4kHz. Design principles for efficient legged locomotion include energy regeneration, low transmission impedance, and low leg inertia. The researchers are continuing their work with robots like Cheetah 2 and Hermes.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
bionic bird
1. PROJECT BIONICOPTER
BY :
KIRAN.R.B 1TJ11EC027
NAVYA.M 1TJ11EC043
DHANAPAL.S 1TJ11EC020
LIJI.T.L 1TJ11EC030 Guide : Prof. Srinivas
T JOHN INSTITUTE OF TECHNOLOGY
2. Board Selection ( Difficulties faced)
• WEIGHT: preferably selected to maintain center of
gravity of the body
• Detailed study of trade off between increased
specifications and weight
• Wide range of controller board available in the
market. To sort out and decide upon was a hectic task.
• Board selected: Multiwii pro flight controller
3. To brief about Multiwii pro
• MultiWii’s name comes from its original
sensors. The first revision designed to use the
Nintendo Wii Nunchuck gyros and
accelerometers(cheap and easily available
worldwide).
• Current MWP sports a host of sensor upgrades.
• The MWP board is based upon the Arduino and
utilizes an ATmega2560 processor.
4. Board specifications
• Multi rotor type
• Gimbal
• Camera trigger output
• GUI
• Flight mode
• Hardware compatibility
5. Multiwii SE V2.5 Flight Controller
• Version : 2.5
• Weight : 17 gm
• interfaced with GPS, Bluetooth, Camera etc
17. Slide Title
Product A
• Feature 1
• Feature 2
• Feature 3
Product B
• Feature 1
• Feature 2
• Feature 3
Editor's Notes
MultiWii Pro
Next up is the MultiWii. MultiWii’s name comes from its original sensors. The first revision of the MultiWii was designed to use the Nintendo Wii Nunchuck gyros and accelerometers, as they were cheap and easily available worldwide. Things have changed quite a bit since then. The current MultiWii board, MultiWii Pro (MWP) sports a host of sensor upgrades. The MWP board is based upon the Arduino and utilizes an ATmega2560 processor. Software is written in Arduino’s native wiring language, using everyone’s favorite processing based IDE. The board’s current sensor suite is extensive. In addition to the usual gyros and accelerometers, it has a barometer, magnetometer (compass), and an optional GPS. MultiWii also allows for a number of configuration methods. Off board LCD and OLED displays can be connected for field configuration. A full GUI config program is available via the on-board USB port or a Bluetooth daughterboard. MultiWii’s source is hosted on their Google Code page, though there is a Github mirror for you git fans. MultiWii is quite capable of stabilizing an R/C style airplane, helicopter, or multicopter. The board is on the cusp of being a full-fledged autopilot. It’s not as slick as the APM, partly due to the fact that there isn’t a well funded corporate entity driving development in one direction or another. The core developers are active though, which makes this a good board to watch.
MultiWii project related stuffs
MultiWii
MultiWii is a general purpose software to control a multirotor RC model.It can now use various sensors but was initially developed to support Nintendo Wii console gyroscopes and accelerometers.We can find these sensors in the extensions of the Nintendo WiiMote: Wii Motion Plus and Wii Nunchuk.This project was an opportunity to develop my own software on an Arduino platform.The achieved stability is excellent for FPV and allows any kind of acrobatics.
The software is for the moment able to control a tricopter, a quadricopter or a hexacopter.
List of supported features
multi Rotor type
BICOPTER
TRICOPTER
QUAD +
QUAD X
HEX Y6
HEX FLAT +
HEX FLAT X
OCTO X8
OCTO FLAT +
OCTO FLAT X
Gimbal
when associated with an accelerometer, MultiWii is able to drive 2 servos for PITCH and ROLL gimbal system adjustment
the gimbal can also be ajdusted via 2 RC channels
Camera trigger output
a servo output can be dedicated to trigger a camera button. A servo travel pattern is defined in this case
GUI:
Coded with processing, java core: Linux/MAC/PC compatible, USB connection
exhaustive parameter configuration
graphical visualization of sensors, motors and RC signal
Flight mode:
one of the following mode
angle velocity driven (accro mode)
absolute angle driven (level mode)
optional mode, compatible with the 2 previous one
altitude assisted mode (baro mode, compatible with the 2 previous mode)
head lock assisted mode (magneto mode)
Hardware compatibility
receiver
any standard receiver with a minimum of 4 RC channels
any PPM sum receiver
servo
up to 4 any standard 50Hz servos can be used
motor ESCs
up to 8 standard ESC can be used, boosted with a 488Hz refresh rate
sensors
3 MEMS Gyro
2x IDG-650, 1x ISZ-650 (genuine Wii Motion Plus)
ITG3200
3 MEMS Acc (optional)
LIS3L02AL (genuine Nunchuk)
BMA020
BMA180
3 MEMS magnetometer (optional)
HMC5883
HMC5843
1 MEMS barometer (optional)
BMP085
LCD for configuration of every parameters on the field
any Sparkfun serial 9600 baud LCD 2x16 characters
TEXTSTAR LCD 2x16 characters, with its 4 buttons supported
List of supported features
multi Rotor type
BICOPTER
TRICOPTER
QUAD +
QUAD X
HEX Y6
HEX FLAT +
HEX FLAT X
OCTO X8
OCTO FLAT +
OCTO FLAT X
Gimbal
when associated with an accelerometer, MultiWii is able to drive 2 servos for PITCH and ROLL gimbal system adjustment
the gimbal can also be ajdusted via 2 RC channels
Camera trigger output
a servo output can be dedicated to trigger a camera button. A servo travel pattern is defined in this case
GUI:
Coded with processing, java core: Linux/MAC/PC compatible, USB connection
exhaustive parameter configuration
graphical visualization of sensors, motors and RC signal
Flight mode:
one of the following mode
angle velocity driven (accro mode)
absolute angle driven (level mode)
optional mode, compatible with the 2 previous one
altitude assisted mode (baro mode, compatible with the 2 previous mode)
head lock assisted mode (magneto mode)
Hardware compatibility
receiver
any standard receiver with a minimum of 4 RC channels
any PPM sum receiver
servo
up to 4 any standard 50Hz servos can be used
motor ESCs
up to 8 standard ESC can be used, boosted with a 488Hz refresh rate
sensors
3 MEMS Gyro
2x IDG-650, 1x ISZ-650 (genuine Wii Motion Plus)
ITG3200
3 MEMS Acc (optional)
LIS3L02AL (genuine Nunchuk)
BMA020
BMA180
3 MEMS magnetometer (optional)
HMC5883
HMC5843
1 MEMS barometer (optional)
BMP085
LCD for configuration of every parameters on the field
any Sparkfun serial 9600 baud LCD 2x16 characters
TEXTSTAR LCD 2x16 characters, with its 4 buttons supported
proportionally to the input. Its movements are controlled by
steering it to a certain orientation and keeping this orientation
for a certain time. Due to measurement noise and discrete
integration the integrated angles drift about
±
3
degrees per
minute. However, this drift can be easily compensated by a
human pilot or an autonomous external position control such
as a motion capture system. Figure 3 shows the principal
structure of our onboard controllers commonly referred to
as ”heading-lock”.
The controller implementations have been optimized for
shortest possible execution time and robustness in almost
every flight situation. Three controllers are running in parallel
on an 8-bit AVR microcontroller (ATMega8). The loop
is interrupt triggered, which enables stable time constants
for integration and filtering. By using the AVR’s internal
ADCs at a high sampling rate, fixpoint arithmetics only,
runtime optimized FIR filter implementations and interrupt
driven I2C communication to update the motor speeds, we
achieved a system running at a control frequency of
1
kHz
.
All controller parameters have been set empirically and
optimized experimentally over several months. Our central
controller board including the controllers is compatible to the
Silverlit X-UFO, which is available on the international toy
market. From January to September 2006 we had 35 people
beta-testing the hardware and optimizing parameters within
hundreds of hours of human controlled flight. During this
period both, hardware and software, have been optimized
as far as possible. The result is a very reliable hardware
revision of the central controller board, as well as a set of
controller parameters capable of reliable control during slow
movements as well as during fast maneuvers, even including
loops where the robot is inverted for short periods.
3) Sensorless Brushless Controllers:
Our robot uses
brushless DC motors. Unlike brushed DC motors, brushless
motors are commutated electronically rather than electro-
mechanically. The common brushless motors use three
phases. Current is always floating through two of these
phases, while the third phase floats free and is used to mea-
sure the angle of the motor. Then the controllers commutates
electronically with a three phase H-bridge. The time when
the third phase crosses
Vdd/
2
is called zero-crossing point
and triggers the next commutation step after a certain time.
The three phases are driven in a semi-sine mode, where the
phase difference between any pair of phases is always 120
degree.
Most commercially available sensorless brushless con-
trollers are sold in the model aircraft market. These are
controlled using servo impulses with a
50
Hz
update rate. To
achieve better stability in every situation, we wish to reduce
the deadtime in the control-loop from the gyro measurement
to the torque change of the motor. We designed the system
for a control-loop frequency of
1
kHz
. In order to update the
motor speeds fast enough, we use an I2C-Bus connected to
four custom built brushless controllers. The microcontroller
used on the brushless controller is an Atmel ATMega168
[13]. This microcontroller was selected because it offers all
required hardware features like timers, PWM generators and
a I2C communication interface with
400
kHz
.
A challenge with sensorless commutation is the necessary
minimum speed to detect the position of the motor. The
start up is done open loop in a stepping mode to accelerate
the motor. The loop is closed afterwards to control the
commutation. As soon as the motor runs in the closed loop
mode the current is regulated by the PWM that is com-
manded by the central controller board. The commutation
loop maintains a synchronization between the motor and the
electrical commutation.
The I2C Routine and the PWM-Update run on lower
priority than the commutation, which is very time critical
task. In the worst case, the PWM is updated latest on
every commutation. Our motors run between 2000 and
8000 rpm. The motors have two electrical commutations
per mechanical commutation. Thus the worst case deadtime
from the sensor measurement to the torque change is:
t
wc
= 1
ms
+
1
2
∗
2000
s
= 1250
μs
The other advantage of our brushless controllers is the
optimization for the low-rpm optimized brushless outrunner
motors.
4) Brushless Motors and Rotors:
The brushless outrunner
motors used in our flying robot are a special design for low
rpm applications. The stator diameter is
22
.
5
mm
, the stator
height
5
mm
. The windings result in a motor constant of
1000
rpm/V
. The weight of the complete motor is
19
g
. The
rotor was designed to fit directly to the left and right turning
propellers from the Silverlit X-UFO. Those propellers are
available very cheap as spare parts of the X-UFO and offer
good performance with excellent safety as they are very
flexible. In figure 4 you can see measurements of voltage,
current, RPM and power per thrust with our motor and the
X-UFO propeller
What is PID?
PID (proportional-integral-derivative) is a closed-loop control system that try to get the actual result closer to the desired result by adjusting the input. Quadcopters or multicopters use PID controller to achieve stability.
There are 3 algorithms in a PID controller, they are P, I, and D respectively. P depends on the present error, I on the accumulation of past errors, and D is a prediction of future errors, based on current rate of change. These controller algorithms are translated into software code lines.
To have any kind of control over the quadcopter or multicopter, we need to be able to measure the quadcopter sensor output (for example the pitch angle), so we can estimate the error (how far we are from the the desired pitch angle, e.g. horizontal, 0 degree). We can then apply the 3 control algorithms to the error, to get the next outputs for the motors aiming to correct the error.
You don’t need to understand how PID controller works in order to fly a quadcopter. However, if you want more theory, here is a very interesting and detail explanation of PID controller with examples. This PID tutorial is also very good and easy to understand for beginners.
There are three parameters that a pilot can adjust to improve better quadcopter stability. These are the coefficients to the 3 algorithms we mentioned above. The coefficent basically would change the importance and influence of each algorithm to the output. Here we are going to look at what are the effects of these parameters to the stability of a quadcopter .
The effect of each parameter
The variation of each of these parameters alters the effectiveness of the stabilization. Generally there are 3 PID loops with their own P I D coefficients, one per axis, so you will have to set P, I and D values for each axis (pitch, roll and yaw).
To a quadcopter, these parameters can cause these behavior.
Proportional Gain coefficient – you quadcopter can fly relatively stable without other parameters but this one. This coefficient determines which is more important, human control or the values measured by the gyroscopes. The higher the coefficient, the higher the quadcopter seems more sensitive and reactive to angular change. If it is too low, the quadcopter will appear sluggish and will be harder to keep steady. You might find the multicopter starts to oscillate with a high frequency when P gain is too high.
Integral Gain coefficient – this coefficient can increase the precision of the angular position. For example when the quadcopter is disturbed and its angle changes 20 degrees , in theory it remembers how much the angle has changed and will return 20 degrees. In practice if you make your quadcopter go forward and the force it to stop, the quadcopter will continue for some time to counteract the action. Without this term, the opposition does not last as long. This term is especially useful with irregular wind, and ground effect (turbulence from motors). However, when the I value gets too high your quadcopter might begin to have slow reaction and a decrease effect of the Proportional gain as consequence, it will also start to oscillate like having high P gain, but with a lower frequency.
Derivative Gain coefficient - this coefficient allows the quadcopter to reach more quickly the desired attitude. Some people call it the accelerator parameter because it amplifies the user input. It also decrease control action fast when the error is decreasing fast. In practice it will increase the reaction speed and in certain cases an increase the effect of the P gain.
I have written a more detailed post aiming to explain the PID effects on a multicopter’s flight performance.
Aerobatic flight:
Requires a slightly higher P
Requires a slightly lower I
Increase D
Gentle smooth flight:
requires a slightly lower lower P
Requires a slightly higher I
Decrease D
Loading the MWC Firmware
Prerequisites
Most FCs (flight controllers) come loaded with older versions of Multiwii. Download latest versions of FC Firmware & MW Config & WinGUI (currently 2.3) from http://www.Multiwii .com. Configure for your quad & upload to FC. It is imperative that the firmware on FC & WinGUI /MW Config are same version
Arduino IDE Setup
If not already done so, download the latest copy of the Arduino IDE from http://www.arduino.cc/ making sure to select the right version for your computer and operating system. Install the IDE per the prescribe procedures. On Windows Operating systems, a USB driver maybe required. The drivers are downloadable from http://www.ftdichip.com/FTDrivers.htm
Downloading the Firmware
As of July 21, 2014, the main depository is located at https://code.google.com/p/multiwii/. Click the download tab followed by clicking the latest version. Save the file to a location on your file system. Decompress the file using your favor program placing the files in the Arduino IDE work direction. This direction can be located from within the IDE by clicking the Preferences button, the field named Sketchbook is the working location.
Preference screen from a MacOS, Windows' Preference screen will vary.
Config.h Options Selections
This segment only covers the minimum configuration and suggested options. More options are available and will be covered in other areas of this wiki.
Select the Copter Type
In this section, select the copter type, QUADX is default. If QUADX is not the desired type, place // before and remove them on the desired selection.
/************************** The type of multicopter ****************************/
//#define GIMBAL //#define BI //#define TRI //#define QUADP #define QUADX //#define Y4 //#define Y6 //#define HEX6 //#define HEX6X //#define HEX6H // New Model //#define OCTOX8 //#define OCTOFLATP //#define OCTOFLATX //#define FLYING_WING //#define VTAIL4 //#define AIRPLANE //#define SINGLECOPTER //#define DUALCOPTER //#define HELI_120_CCPM //#define HELI_90_DEG Select the Flight Controller
You will need to know your Flight Control type and information for this segment. Please consult the manufacture for detailed information about your board. Once you have this information at-hand, select the board by removing the preceding //. If your board is not listed here, there is another option providing you know the sensors it has.
/*************************** Combined IMU Boards ********************************/
/* if you use a specific sensor board: please submit any correction to this list. Note from Alex: I only own some boards, for other boards, I'm not sure, the info was gathered via rc forums, be cautious */ //#define FFIMUv1 // first 9DOF+baro board from Jussi, with HMC5843 <- confirmed by Alex //#define FFIMUv2 // second version of 9DOF+baro board from Jussi, with HMC5883 <- confirmed by Alex //#define FREEIMUv1 // v0.1 & v0.2 & v0.3 version of 9DOF board from Fabio //#define FREEIMUv03 // FreeIMU v0.3 and v0.3.1 //#define FREEIMUv035 // FreeIMU v0.3.5 no baro //#define FREEIMUv035_MS // FreeIMU v0.3.5_MS <- confirmed by Alex //#define FREEIMUv035_BMP // FreeIMU v0.3.5_BMP //#define FREEIMUv04 // FreeIMU v0.4 with MPU6050, HMC5883L, MS561101BA <- confirmed by Alex //#define FREEIMUv043 // same as FREEIMUv04 with final MPU6050 (with the right ACC scale) //#define NANOWII // the smallest multiwii FC based on MPU6050 + pro micro based proc <- confirmed by Alex //#define PIPO // 9DOF board from erazz //#define QUADRINO // full FC board 9DOF+baro board from witespy with BMP085 baro <- confirmed by Alex //#define QUADRINO_ZOOM // full FC board 9DOF+baro board from witespy second edition //#define QUADRINO_ZOOM_MS// full FC board 9DOF+baro board from witespy second edition <- confirmed by Alex //#define ALLINONE // full FC board or standalone 9DOF+baro board from CSG_EU //#define AEROQUADSHIELDv2 //#define ATAVRSBIN1 // Atmel 9DOF (Contribution by EOSBandi). requires 3.3V power. //#define SIRIUS // Sirius Navigator IMU <- confirmed by Alex //#define SIRIUSGPS // Sirius Navigator IMU using external MAG on GPS board <- confirmed by Alex //#define SIRIUS600 // Sirius Navigator IMU using the WMP for the gyro //#define SIRIUS_AIR // Sirius Navigator IMU 6050 32U4 from MultiWiiCopter.com <- confirmed by Alex //#define SIRIUS_AIR_GPS // Sirius Navigator IMU 6050 32U4 from MultiWiiCopter.com with GPS/MAG remote located //#define SIRIUS_MEGAv5_OSD // Paris_Sirius™ ITG3050,BMA280,MS5611,HMC5883,uBlox http://www.Multiwiicopter.com <- confirmed by Alex //#define MINIWII // Jussi's MiniWii Flight Controller <- confirmed by Alex //#define MICROWII // MicroWii 10DOF with ATmega32u4, MPU6050, HMC5883L, MS561101BA from http://flyduino.net/ //#define CITRUSv2_1 // CITRUS from qcrc.ca //#define CHERRY6DOFv1_0 //#define DROTEK_10DOF // Drotek 10DOF with ITG3200, BMA180, HMC5883, BMP085, w or w/o LLC //#define DROTEK_10DOF_MS // Drotek 10DOF with ITG3200, BMA180, HMC5883, MS5611, LLC //#define DROTEK_6DOFv2 // Drotek 6DOF v2 //#define DROTEK_6DOF_MPU // Drotek 6DOF with MPU6050 //#define DROTEK_10DOF_MPU// //#define MONGOOSE1_0 // mongoose 1.0 http://store.ckdevices.com/ //#define CRIUS_LITE // Crius MultiWii Lite //#define CRIUS_SE // Crius MultiWii SE //#define CRIUS_SE_v2_0 // Crius MultiWii SE 2.0 with MPU6050, HMC5883 and BMP085 //#define OPENLRSv2MULTI // OpenLRS v2 Multi Rc Receiver board including ITG3205 and ADXL345 //#define BOARD_PROTO_1 // with MPU6050 + HMC5883L + MS baro //#define BOARD_PROTO_2 // with MPU6050 + slave MAG3110 + MS baro //#define GY_80 // Chinese 10 DOF with L3G4200D ADXL345 HMC5883L BMP085, LLC //#define GY_85 // Chinese 9 DOF with ITG3205 ADXL345 HMC5883L LLC //#define GY_86 // Chinese 10 DOF with MPU6050 HMC5883L MS5611, LLC //#define GY_521 // Chinese 6 DOF with MPU6050, LLC //#define INNOVWORKS_10DOF // with ITG3200, BMA180, HMC5883, BMP085 available here http://www.diymulticopter.com //#define INNOVWORKS_6DOF // with ITG3200, BMA180 available here http://www.diymulticopter.com //#define MultiWiiMega // MEGA + MPU6050+HMC5883L+MS5611 available here http://www.diymulticopter.com //#define PROTO_DIY // 10DOF mega board //#define IOI_MINI_MULTIWII// www.bambucopter.com //#define Bobs_6DOF_V1 // BobsQuads 6DOF V1 with ITG3200 & BMA180 //#define Bobs_9DOF_V1 // BobsQuads 9DOF V1 with ITG3200, BMA180 & HMC5883L //#define Bobs_10DOF_BMP_V1 // BobsQuads 10DOF V1 with ITG3200, BMA180, HMC5883L & BMP180 - BMP180 is software compatible with BMP085 //#define FLYDUINO_MPU // MPU6050 Break Out onboard 3.3V reg //#define CRIUS_AIO_PRO_V1 //#define DESQUARED6DOFV2GO // DEsquared V2 with ITG3200 only //#define DESQUARED6DOFV4 // DEsquared V4 with MPU6050 //#define LADYBIRD //#define MEGAWAP_V2_STD // available here: http://www.multircshop.com <- confirmed by Alex //#define MEGAWAP_V2_ADV //#define HK_MultiWii_SE_V2 // Hobbyking board with MPU6050 + HMC5883L + BMP085 //#define HK_MultiWii_328P // Also labeled "Hobbybro" on the back. ITG3205 + BMA180 + BMP085 + NMC5583L + DSM2 Connector (Spektrum Satellite) //#define RCNet_FC // RCNet FC with MPU6050 and MS561101BA http://www.rcnet.com //#define RCNet_FC_GPS // RCNet FC with MPU6050 + MS561101BA + HMC5883L + UBLOX GPS http://www.rcnet.com //#define FLYDU_ULTRA // MEGA+10DOF+MT3339 FC //#define DIYFLYING_MAGE_V1 // diyflying 10DOF mega board with MPU6050 + HMC5883L + BMP085 http://www.indoor-flying.hk //#define MultiWii_32U4_SE // Hextronik MultiWii_32U4_SE //#define MultiWii_32U4_SE_no_baro // Hextronik MultiWii_32U4_SE without the MS561101BA for more free flash-memory //#define Flyduino9DOF // Flyduino 9DOF IMU MPU6050+HMC5883l //#define Nano_Plane // Multiwii Plane version with tail-front LSM330 sensor http://www.radiosait.ru/en/page_5324.html Independent sensors Selection
This segment requires a little more knowledge about the Flight Controller board used and the axis orientation. (need more work.)
/*************************** independent sensors ********************************/
/* leave it commented if you already checked a specific board above */ /* I2C gyroscope */ //#define WMP //#define ITG3200 //#define MPU3050 //#define L3G4200D //#define MPU6050 //combo + ACC //#define LSM330 //combo + ACC /* I2C accelerometer */ //#define NUNCHUCK // if you want to use the nunckuk connected to a WMP //#define MMA7455 //#define ADXL345 //#define BMA020 //#define BMA180 //#define BMA280 //#define NUNCHACK // if you want to use the nunckuk as a standalone I2C ACC without WMP //#define LIS3LV02 //#define LSM303DLx_ACC //#define MMA8451Q /* I2C barometer */ //#define BMP085 //#define MS561101BA /* I2C magnetometer */ //#define HMC5843 //#define HMC5883 //#define AK8975 //#define MAG3110 /* Sonar */ // for visualization purpose currently - no control code behind //#define SRF02 // use the Devantech SRF i2c sensors //#define SRF08 //#define SRF10 //#define SRF23 /* ADC accelerometer */ // for 5DOF from sparkfun, uses analog PIN A1/A2/A3 //#define ADCACC /* enforce your individual sensor orientation - even overrides board specific defaults */ //#define FORCE_ACC_ORIENTATION(X, Y, Z) {imu.accADC[ROLL] = Y; imu.accADC[PITCH] = -X; imu.accADC[YAW] = Z;} //#define FORCE_GYRO_ORIENTATION(X, Y, Z) {imu.gyroADC[ROLL] = -Y; imu.gyroADC[PITCH] = X; imu.gyroADC[YAW] = Z;} //#define FORCE_MAG_ORIENTATION(X, Y, Z) {imu.magADC[ROLL] = X; imu.magADC[PITCH] = Y; imu.magADC[YAW] = Z;} Failsafe Option
The term Failsafe by traditional interpretation maybe a misnomer here however it is suggested if you are using a RX that does not have its own failsafe procedures. The MWC failsafe monitor the input from the RX for values within the 1000ms to 2000mz zone and if not, will enable the failsafe. At this stage, failsafe is basically a control crash. It enable auto-leveling if the flight controller has an accelerometer and adjust the throttle to the defined value listed below. Here is addition info on Fail safe.
/******** Failsafe settings ********************/
/* Failsafe check pulses on four main control channels CH1-CH4. If the pulse is missing or bellow 985us (on any of these four channels) the failsafe procedure is initiated. After FAILSAFE_DELAY time from failsafe detection, the level mode is on (if ACC or nunchuk is avaliable), PITCH, ROLL and YAW is centered and THROTTLE is set to FAILSAFE_THROTTLE value. You must set this value to descending about 1m/s or so for best results. This value is depended from your configuration, AUW and some other params. Next, after FAILSAFE_OFF_DELAY the copter is disarmed, and motors is stopped. If RC pulse coming back before reached FAILSAFE_OFF_DELAY time, after the small quard time the RC control is returned to normal. */ #define FAILSAFE // uncomment to activate the failsafe function #define FAILSAFE_DELAY 10 // Guard time for failsafe activation after signal lost. 1 step = 0.1sec - 1sec in example #define FAILSAFE_OFF_DELAY 200 // Time for Landing before motors stop in 0.1sec. 1 step = 0.1sec - 20sec in example #define FAILSAFE_THROTTLE (MINTHROTTLE + 200) // (*) Throttle level used for landing - may be relative to MINTHROTTLE - as in this case #define FAILSAFE_DETECT_TRESHOLD 985 Motor Stop Option
The MOTOR_STOP option is suggested but not required. What it does is, the motors will not spin up when the throttle is at it lowest point. This can be helpful during the arming procedure.
/**************************************************************************************/
/*********************** motor, servo and other presets ***********************/ /**************************************************************************************/ /* motors will not spin when the throttle command is in low position this is an alternative method to stop immediately the motors */ //#define MOTOR_STOP
Transmitter Configuration
Mixing Setting
Make sure the set the Transmitter mixing settings to ACRO (No mixing) in the US, type two or type One for else where. This procedure will very according to the brand so please consult your owner manual for special details of how this is done.
Setting End Points
Adjust the endpoints for the Pitch, Roll, Yaw and Throttle channels to their maximum allowable points or 1000ms for the low and 2000ms for the high.
Trim the following channels as required.
Throttle: 1000 - 1020 ms
Pitch : 1500
Roll : 1500
Yaw : 1500
The GUI may be used as feedback if they are unable to be set via the transmitter.
Set your transmitter end points. Using the WinGUI or MW Config open the RC CONTROLS tab look at the live tx data, then use your tx sub trim to set the throttle low at 1000 and all the mid sticks at 1500. Then using the tx end points adjustment make the throttle high point 2000, yaw left 1000, yaw right 2000, pitch down 1000, pitch up 2000, roll left 1000, roll right 2000. You may have to readjust for 1500 center. Ensure that all readings move in direction of TX sticks & switches (maximum value when the sticks are in the upper right corner). Reverse on TX if not. Note: Do not set Ends Points less than 1000 or greater than 2000. Slightly within these limits is better than any value going outside these limits.
The remaining channels, set to 1500ms but not critical for setup at this time
ESC Calibration
The ESC Calibration is the very foundation for a well tuned aircraft. With this said, not all ESCs are created equality. Some, the end points are configurable (preferred) where others have a fixed points. Importantly the calibration of the ESCs min/max points using direct connection to RX which should be in the general area of 1050 to 2000ms. For this process, it is strongly suggestion to remove the props and have a means of quickly disconnection the battery if something should go wrong.
There are other methods but this is easiest. Ensure motors are turning in correct direction with correct props for rotation & not mounted upside down.
External Method Calibration
One method is to build a simple connector using header pins with the top (Signal) and the bottom (ground) connected. The 5th pin would be connected to the RX throttle pin. This will assure all ESCs have the same signals values sent to them.
MWC Special Build ESC Calibration
/********************************************************************/
/**** ESCs calibration ****/ /********************************************************************/ /* to calibrate all ESCs connected to MWii at the same time (useful to avoid unplugging/re-plugging each ESC) Warning: this creates a special version of MultiWii Code You cannot fly with this special version. It is only to be used for calibrating ESCs Read How To at http://code.google.com/p/multiwii/wiki/ESCsCalibration */ #define ESC_CALIB_LOW MINCOMMAND #define ESC_CALIB_HIGH 2000 //#define ESC_CALIB_CANNOT_FLY // uncomment to activate
GUI Interface
Next connect to PC running WinGUI or MW Config. Calibrate ACC with FC level & not moving & Mag by moving FC thru all axis in 30seconds. Check graphs & readouts to confirm accurate calibration.
NOTES 1. Don't expect motor speed graphs to rise in sync & hold speed in GUI when quad not flying. This is normal & part of PID control
Accelerometer Calibration
Place the copter on a level surface and level the copter, a bubble leveler is not required but is helpful for better accuracy.
There are two methods for Acc Calibration, By clicking the ACC Cal button in the GUI Or by using the Stick combination. Image shown is for Mode II transmitters.
First Flight Testing
Safety First
First and foremost, safely first. (Need to expand)
Be aware that if you choose to run the MW version preinstalled on the FC it may have Motor_Stop uncommented. This is not recommended for beginners as motors will not spin on arming & you will not know if Min Throttle is set correctly. Min Throttle should be set to lowest speed that will cause all motors to start reliably every time that quad is armed
Fight Test
For the very first attempt at fight, it is best to have all modes (auto-leveling, Heading and Altitude Holding etc.) Disabled. Increase throttle slightly then decrease throttle fully and the motors need to be still rotating, if they stop then your min throttle setting needs increasing slightly. With all sensors calibrated correctly and mag declination set, using the default PIDs and in a nice open space ARM with throttle low and yaw right.
Throttle-up slowly watching for the first signs of liftoff. Note any variations in Roll and Pitch axis, if the differences are contain, trim the axis in question. If there is Oscillation. this will require adjusting the P value for that axis. Make sure not to over control the copter, at this point in the flight, very little control is necessary. At this stage of testing, ground turbulence is actually a good friend because if the Gyro is well tuned, the copter should be able to correct itself.
PID settings
Proportional: Stubbornness to say in place
Integral: Heading hold, or lenience regarding gradual shifts
Derivative : Speed, aggression to make corrections.
The P was called many different things in the old days of instrumentation, ratio, rate, band, I/O and many more. It actually means that an input value change will give an output value change times a multiplier.
The I value used to be called reset, time, and other things, it means time based on value of input/setpoint or vice versa in some instances multiplied by a corrective value.
D the derivative is a bit harder to explain, but means mostly that an upset that happens very quick and/or large enough that it would not be handled by normal more gentle P and I can be handled by a complex calculation. D has to be used cautiously for it can induce violent outputs very quickly. In deeper words, D functions on the angle of the rate of change instead of the rate of change.
Other
Try again and if the motor idle speed is stable increase throttle quickly to approx. 50% and hover. If it drifts use TX trims to prevent it. Next enable Horizon mode. If quad drifts backwards just land disarm with throttle low yaw left. Then trim ACC with throttle high and hold your pitch roll stick in the opposite direction to the drift so in this case forward hold there until the light on your board flashes 5 times then centre stick, throttle low and rearm and try again. Repeat as required. DO NOT touch TX TRIMS to counter drift as you have already set this in Acro. Remember If you calibrate ACC again using GUI (or ACC stick Cal) you will lose these ACC adjustments & have to do it again.
If motors don't have enough power to climb then vibration is probably your issue unless bad or low capacity Lipo. Buy good composite or CF props with quality adapters, balance everything & then retry. You may still need to set Gyro filter to 42Hz in Config.h if it won't climb or flies erratically.
You should now have a nice stable quad (or at least as you can get without PID adjustment) & can then move on to GPS modes for which you will find plenty of info on in this Forum. I hope this will help you and maybe others to get flying. It's a big learning curve but definitely worth it! :D
3. If you intend to use advanced GPS functions such as Missions, Land, Fencing etc, download MW2.3 NaviB7 for FC & WinGUI pre 10 for NaviB7 from http://www.eosbandi.com These GPS modes beyond Pos Hold & RTH require an FC with Atmega 2560 microcontroller. The Crius AIOP V1 & V2 are typical. Configure for your quad & upload to FC