This document discusses the design and components of a surveillance drone. It describes how a drone uses four propellers and motors to generate lift. A drone is controlled remotely using a transmitter that sends signals to a receiver on the drone. The receiver is connected to a flight controller board that processes the signals and controls electronic speed controllers connected to each motor. This allows the drone to be maneuvered for surveillance applications such as monitoring traffic or areas that are dangerous for humans to access. The document provides details on common components of drones like motors, propellers, batteries, and controllers. It also discusses how the physics of thrust from counter-rotating propellers allows for controlled vertical and horizontal movement.
This document describes a project using unmanned aerial vehicles (UAVs) and the concept of swarm robotics to detect landmines. The key points are:
1. UAVs equipped with sensors like metal detectors and cameras will work together to detect landmines over large areas.
2. Once detected, the locations of landmines will be mapped using high-resolution 360-degree cameras.
3. The goal is to reduce costs and risks to human lives by automating landmine detection and mapping operations. This system could save lives by eliminating dangerous manual detection methods.
This document describes a study on developing a human instruction follower drone. It discusses selecting components like a quadcopter frame, motors, electronic speed controllers, an IMU sensor, GPS, and Arduino board. It explains how the drone will navigate autonomously using GPS waypoints from its original position to a given destination defined by latitude and longitude, then return to the original position. The document outlines the mechanism for frame selection, component selection and interfacing, and the performance of the IMU sensor and use of a complementary filter to provide stable sensor data for flight stabilization and control.
Fabrication of Customized Surveillance & Night Vision Patrolling DroneIRJET Journal
This document presents the development of an autonomous quadcopter drone equipped with a night vision camera for security surveillance purposes. The drone is designed to be affordable and efficient. It utilizes an APM 2.8 flight controller and can be controlled wirelessly to navigate pre-planned missions without human intervention. The night vision camera allows the drone to perform surveillance day or night. The mission planner software enables the drone to autonomously follow mapped waypoints and provides real-time flight data. Overall, the drone aims to provide a better and safer security surveillance system through autonomous monitoring of large areas.
IRJET- The Modernization of Agriculture using UAVIRJET Journal
This document discusses using drones for modernizing agriculture. It describes how drones can be used for tasks like monitoring fields, spraying crops, and checking weather conditions. The document then provides details on the typical components of drones used for agriculture, including frames, propellers, transmitters, brushless motors, electronic speed controllers, and flight controllers. It gives specifics on sensors like temperature/humidity and gas sensors that can be used on agricultural drones. In summary, drones are becoming more commonly used in precision agriculture for tasks like field monitoring, spraying, and checking weather conditions to aid farmers.
IRJET- The Modernization of Agriculture using UAVIRJET Journal
This document discusses using drones for modernizing agriculture. It describes how drones can be used for tasks like monitoring fields, spraying crops, and checking weather conditions. It also discusses how climate change is impacting agriculture and how the use of drones has increased in the last two decades. The document then provides details on the typical components of drones used for agriculture, including frames, propellers, transmitters, brushless motors, electronic speed controllers, flight controllers, and sensors to measure temperature, humidity, and gas levels.
This document describes a project report for a quadcopter that uses an ATmega 328 microcontroller. It includes a title page, certificate of authenticity signed by the student and advisor, acknowledgements, abstract, list of figures, and table of contents. The project aims to design and build a stable quadcopter capable of autonomous flight and GPS data logging. Various components of the quadcopter are discussed including the frame, motors, electronic speed controllers, batteries, and remote control system. The control and programming of the flight controller is also outlined.
IRJET- Weather Station Quadcopter using Arduino with NRF24L01 and GPS ModuleIRJET Journal
This document describes the design and implementation of a quadcopter drone equipped with sensors to function as a wireless weather station. The drone is built using a wooden frame, brushless DC motors powered by lithium polymer batteries. An Arduino Uno acts as the flight controller, interfacing with an MPU6050 sensor for stabilization and an NRF24L01 transceiver to communicate with a remote control. Sensors measure weather parameters like temperature, humidity and pressure, and the data is logged to an SD card along with GPS coordinates from an attached GPS module. The drone aims to provide a low-cost alternative to traditional weather stations while allowing data collection in remote areas. Initial testing was successful in achieving stable flight and Bluetooth
This document discusses the design and components of a surveillance drone. It describes how a drone uses four propellers and motors to generate lift. A drone is controlled remotely using a transmitter that sends signals to a receiver on the drone. The receiver is connected to a flight controller board that processes the signals and controls electronic speed controllers connected to each motor. This allows the drone to be maneuvered for surveillance applications such as monitoring traffic or areas that are dangerous for humans to access. The document provides details on common components of drones like motors, propellers, batteries, and controllers. It also discusses how the physics of thrust from counter-rotating propellers allows for controlled vertical and horizontal movement.
This document describes a project using unmanned aerial vehicles (UAVs) and the concept of swarm robotics to detect landmines. The key points are:
1. UAVs equipped with sensors like metal detectors and cameras will work together to detect landmines over large areas.
2. Once detected, the locations of landmines will be mapped using high-resolution 360-degree cameras.
3. The goal is to reduce costs and risks to human lives by automating landmine detection and mapping operations. This system could save lives by eliminating dangerous manual detection methods.
This document describes a study on developing a human instruction follower drone. It discusses selecting components like a quadcopter frame, motors, electronic speed controllers, an IMU sensor, GPS, and Arduino board. It explains how the drone will navigate autonomously using GPS waypoints from its original position to a given destination defined by latitude and longitude, then return to the original position. The document outlines the mechanism for frame selection, component selection and interfacing, and the performance of the IMU sensor and use of a complementary filter to provide stable sensor data for flight stabilization and control.
Fabrication of Customized Surveillance & Night Vision Patrolling DroneIRJET Journal
This document presents the development of an autonomous quadcopter drone equipped with a night vision camera for security surveillance purposes. The drone is designed to be affordable and efficient. It utilizes an APM 2.8 flight controller and can be controlled wirelessly to navigate pre-planned missions without human intervention. The night vision camera allows the drone to perform surveillance day or night. The mission planner software enables the drone to autonomously follow mapped waypoints and provides real-time flight data. Overall, the drone aims to provide a better and safer security surveillance system through autonomous monitoring of large areas.
IRJET- The Modernization of Agriculture using UAVIRJET Journal
This document discusses using drones for modernizing agriculture. It describes how drones can be used for tasks like monitoring fields, spraying crops, and checking weather conditions. The document then provides details on the typical components of drones used for agriculture, including frames, propellers, transmitters, brushless motors, electronic speed controllers, and flight controllers. It gives specifics on sensors like temperature/humidity and gas sensors that can be used on agricultural drones. In summary, drones are becoming more commonly used in precision agriculture for tasks like field monitoring, spraying, and checking weather conditions to aid farmers.
IRJET- The Modernization of Agriculture using UAVIRJET Journal
This document discusses using drones for modernizing agriculture. It describes how drones can be used for tasks like monitoring fields, spraying crops, and checking weather conditions. It also discusses how climate change is impacting agriculture and how the use of drones has increased in the last two decades. The document then provides details on the typical components of drones used for agriculture, including frames, propellers, transmitters, brushless motors, electronic speed controllers, flight controllers, and sensors to measure temperature, humidity, and gas levels.
This document describes a project report for a quadcopter that uses an ATmega 328 microcontroller. It includes a title page, certificate of authenticity signed by the student and advisor, acknowledgements, abstract, list of figures, and table of contents. The project aims to design and build a stable quadcopter capable of autonomous flight and GPS data logging. Various components of the quadcopter are discussed including the frame, motors, electronic speed controllers, batteries, and remote control system. The control and programming of the flight controller is also outlined.
IRJET- Weather Station Quadcopter using Arduino with NRF24L01 and GPS ModuleIRJET Journal
This document describes the design and implementation of a quadcopter drone equipped with sensors to function as a wireless weather station. The drone is built using a wooden frame, brushless DC motors powered by lithium polymer batteries. An Arduino Uno acts as the flight controller, interfacing with an MPU6050 sensor for stabilization and an NRF24L01 transceiver to communicate with a remote control. Sensors measure weather parameters like temperature, humidity and pressure, and the data is logged to an SD card along with GPS coordinates from an attached GPS module. The drone aims to provide a low-cost alternative to traditional weather stations while allowing data collection in remote areas. Initial testing was successful in achieving stable flight and Bluetooth
We will introduce a development of a mini-quad rotor system for indoor application at Keokuk University. The propulsion system consists of X-UFO blade propellers and brushless direct current (DC) motors assembled on a very stiff ai rframe made of carbon fiber composite material. The attitude control system consists of a stab ility augmentation system as the inner loop control and a modern control approach as the outer lo op. The closed-loop contro l is a PID controller,which is used for the flight test to valid ate our aerodynamic mode ling. To perform an experimental flight test,basic electronics hardware will de velop in a simple configuration. We will use an AVR microcontroller as the embe dded controller,a low-cost 100 Hz AHRS for inertial sensing,infrared (IR) sensors for horizontal ranging,and an ultrasonic sensor for ground ranging. A high performance propeller system is built on an X-UFO quad rotor airframe. The developing flying robot is shown to have an automatic hovering ability with aid of a ground control system that uses mon itoring and a fail-safe system. We will introduce a new quad rotor platform for realizing autonomous navigation in unknown indoor/outdoor environments. Au tonomous waypoint navigation,obs tacle avoidance and flight control is implemented on-board. The system does not require a special environment,artificial markers or an external reference system. We will develop a monolithic,mechanically damped perception unit which is equipped with a stereo camera pair,an Inertial Measurement Unit (IMU),two processor and an FPGA board.
IRJET- Autonomous Operation and Controlling of Unmanned Ariel Vehicle (UA...IRJET Journal
This document summarizes a research project involving the development of an autonomous unmanned aerial vehicle (UAV) system capable of remote operation over the internet. The system uses a Raspberry Pi computer to control the UAV and transmit live video and sensor data to a web interface. Key features of the UAV system include autonomous navigation using GPS waypoints, object detection and collision avoidance sensors, a wireless internet connection for long-range control, and a camera for live video streaming. The system is intended for applications like surveillance and monitoring in difficult to access areas.
This document describes a proposed robot that would help protect wildlife using sensors and navigation capabilities. The robot, called a bot, would use an ultrasonic sensor connected to an Arduino Uno microcontroller to detect obstacles, people, or animals. The Arduino code would allow the bot to change direction to avoid collisions. Its goal is to help reduce accidents involving animals in forests and roads by continuously monitoring endangered animals and plants. The bot design incorporates components like a battery, motor, and switches to power movement. Experimental results show the bot can detect distance and change speed/velocity/acceleration based on sensor readings to navigate around detected objects. The bot aims to help conserve wildlife habitats and populations through non-intrusive monitoring using emerging IoT
The document describes a project report submitted by Stuti Vyas, Drashti Sheth, and Jay Vala for their Bachelor of Engineering degree. It outlines the development of a quadcopter surveillance system, including the components used, methods for designing and assembling the frame and circuits, and testing procedures. The quadcopter is intended to be remotely operated and carry a wireless camera for surveillance applications.
Tri-Rotor UAV Stabilisation and ControlIRJET Journal
This document summarizes a research project on developing a tri-rotor unmanned aerial vehicle (UAV) for remote aerial surveillance. The project involves designing a tri-rotor UAV with vertical take-off and landing capability along with a control system to stabilize and direct its flight. A wireless camera attached to the UAV transmits live video to a ground station for monitoring purposes. The ground station allows an operator to view the video and generate control signals to adjust the camera position and direct the UAV's path of flight. The document describes the hardware components of the UAV and ground station as well as the communication system and flight control algorithms used to control the tri-rotor UAV.
This document is a project report submitted by three students for their Bachelor of Technology degree. It outlines the design and implementation of an unmanned aerial vehicle (UAV) in the form of a quadcopter for campus surveillance. The quadcopter will house a camera and use a wireless transmission system to provide live video feed from the camera to a ground station. Sensors such as an IMU and GPS will be used to help stabilize and navigate the quadcopter. An onboard processor and flight controller using Arduino will control the quadcopter. The project aims to develop a low-cost and lightweight surveillance drone.
In the past decade Unmanned Aerial Vehicles (UAVs) have become a topic of interest in many research organizations. UAVs are finding applications in various areas ranging from military applications to traffic surveillance. This paper is a survey for a certain kind of UAV called quadrotor or quadcopter. Researchers are frequently choosing quadrotors for their research because a quadrotor can accurately and efficiently perform tasks that would be of high risk for a human pilot to perform. This paper encompasses the dynamic models of a quadrotor and the different model-dependent and model-independent control techniques and their comparison. Recently, focus has shifted to designing autonomous quadrotors. A summary of the various localization and navigation techniques has been given. Lastly, the paper investigates the potential applications of quadrotors and their role in multi-agent systems.
Dual-rotor aerospace experiment with reconfigurable
dynamic components for mechatronics exploration
and controls.
To learn more connect us 044-2833 0999 or write us to infoindia@edutech.com
REMOTE CONTROLLED QUADCOPTER -
• A quadrotor helicopter that is lifted and propelled by four rotors and controlled by remote by making variation in the speed of is four motors.
• 4 BLDC motors used as rotor which are controlled by the 4 ESCs connected with the FCB.
• 6 channel Transmitter and Reciever is used to communicate with the on board FCB with proper calibration.
• PI settings need to be done in its Aileron, Elevator, Rudder with different configurations of the remote sticks and the other level settings.
• Whole system of Quad is powered by 12V LiPo battery.
Pesticides spraying using Agricultural DroneIRJET Journal
1. The document discusses the use of agricultural drones for pesticide spraying on farms. It aims to create an intuitive user interface for farmers to control drones and spray pesticides across their entire property remotely.
2. The proposed system involves integrating a sprinkler mechanism onto a drone that can be controlled by a farmer using a transmitter and receiver. This allows the drone to spray pesticides and fertilizers over large fields efficiently.
3. Some key advantages of using agricultural drones for spraying include increased speed, more uniform spraying, reduced water and pesticide usage, and protecting farmer health by reducing manual spraying. However, challenges include limited battery life and higher costs compared to traditional spraying methods.
This document summarizes a proposed crash avoidance system for drones. When one of a drone's motors fails, the system would allow the pilot to manually switch the drone from a quadcopter to a tricopter configuration using a signal sent to the flight controller. This would maintain pilot control and allow the drone to safely land. The system would involve connecting an Arduino board to the flight controller to receive the pilot's signal and cut power to the failed motor while keeping the other three motors operational during the transition, ensuring stable controlled landing. A literature review found that existing methods focus on software solutions while this approach addresses the problem from both a software and hardware perspective.
This document discusses unmanned aerial vehicles (UAVs or drones) and their components. It provides information on:
1) The basic components of a quadcopter drone, including the frame, motors, electronic speed controllers (ESCs), inertial measurement unit (IMU), GPS, autopilot/flight controller, flight computer, battery, and camera.
2) Key software used in drone systems, such as DroneKit, QGroundControl, Mission Planner, MAVLink, and MAVProxy.
3) The roles of the autopilot/flight controller, ESCs, brushless motors, IMU, GPS, telemetry, and camera in drone functionality and autonomous flight.
Design and Fabrication of Quadcopter for Health Crare Purposes (Final Present...MuhmammadBilal
This document describes a project to design and fabricate a quadcopter for healthcare purposes. A group of students designed an X-shaped quadcopter that can lift 50-100 grams to deliver medical supplies. They conducted research on using drones for emergency response. The proposed methodology controls four motors with an Arduino flight controller. Simulation results demonstrated speed control of individual motors and the full drone. A physical prototype was built and tested that had a stable flight and could lift the required weight. The project addressed using quadcopters to reduce emergency response times.
Three-Axis Auto Stabilizing Video Camera PlatformEklavya Sharma
Basically auto-stabilizing platform consists of platform which is balanced by movement of three servo motors in opposite direction to the movement of the platform. Arduino Uno process the tilt angles obtained from MPU-6050 and give instruction to the respective servo motors to rotate by certain angle depending on its previous position to balance or control the platform. The intent of the platform design is to maintain the platform at an initially selected angle while the support structure orientation changes. The software was written with logic to convert the digital data from the accelerometer and gyroscope to an acceleration and gyro magnitude vector and then converted
in degrees. The InvenSense MPU-6050 sensor contains a 3axis MEMS accelerometer and a 3axis MEMS gyro in a single chip whose outputs are calibrated properly by using KALMAN FILTER
to give the precise angle. The magnitude of the angle was then compared to a predetermined mathematical function to infer the angle of tilt of the platform. The angle of tilt is then converted
to angle of rotation for the servos to adjust their current position and bring the platform in balanced condition. Testing showed the platform to perform as expected. Although some error on the final angle was expected, the magnitude of the error observed indicated the platform design has a high sensitivity to low tolerance mechanical joints (slop). Overall the platform design was validated based on the positional accuracy of the platform given the low quality components used to create it. In other words, the platform performed greater than the sum of its parts.
This document summarizes a student presentation on the design and implementation of an autonomous quadcopter. It describes adding sensors to measure temperature, humidity, CO2, and include real-time monitoring. The quadcopter uses a custom GPS system for autonomous flight controlled by an Android device. It can automatically takeoff and land using DroneKit software. The presentation team aims to add image recognition using OpenCV and automatic landing detection of specific patterns. They also want to add obstacle detection during flight.
The document describes a PRS NANO UAV system designed to gather intelligence and monitor enemy activities to minimize military and civilian casualties. The UAV is shaped like a dragonfly for covert surveillance. It uses an ESP 32 WIFI camera and is controlled through an RF transmitter and receiver while images are viewed on a mobile phone. The BLDC motor and propellers enable takeoff, flight, and landing while the microcontroller processes sensor data and controls flight. The UAV aims to safely provide military intelligence through undetectable surveillance.
This document describes a smart alignment system that uses light sensors and servo motors to automatically adjust the position of an object based on the direction of a light source. The system has four light dependent resistors (LDRs) that detect light levels and send signals to an Arduino microcontroller. The Arduino controls two servo motors that physically move the object east-west or angularly based on which LDRs detect more light. The goal is to reduce human effort by allowing automatic positioning of an object simply by moving a light source. Experimental results showed the system successfully tracked a light source in two axes of movement.
The document summarizes a student project report on building a drone. It includes specifications of the drone such as indoor/outdoor operation, altitude hold, 0.5MP camera, 360 degree flips, 3.7V 300mAh battery with 60-80 minute charging time. Potential uses are also listed such as surveillance, wildlife monitoring, disaster management, agriculture. The technical components of the drone are then described, including the lithium polymer battery, motors, electronic speed controllers (ESCs), flight controller, radio transmitter, and common materials for the frame like aluminum and thermoplastics. Literature resources on drones and their applications are referenced at the end.
Multirotor control ua vs based on fuzzy logicAntonio Chica
This document discusses the use of fuzzy logic control for unmanned aerial vehicles (UAVs), specifically quadrotors. It provides background on UAVs and quadrotors, including their components and degrees of freedom. Fuzzy logic control is described as an effective method for controlling nonlinear systems like quadrotors. Several previous studies applying fuzzy logic control to UAVs, robotics, and quadrotor trajectory tracking are summarized. The key components of UAV control - perception, localization, planning and navigation - are also overviewed.
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.
We will introduce a development of a mini-quad rotor system for indoor application at Keokuk University. The propulsion system consists of X-UFO blade propellers and brushless direct current (DC) motors assembled on a very stiff ai rframe made of carbon fiber composite material. The attitude control system consists of a stab ility augmentation system as the inner loop control and a modern control approach as the outer lo op. The closed-loop contro l is a PID controller,which is used for the flight test to valid ate our aerodynamic mode ling. To perform an experimental flight test,basic electronics hardware will de velop in a simple configuration. We will use an AVR microcontroller as the embe dded controller,a low-cost 100 Hz AHRS for inertial sensing,infrared (IR) sensors for horizontal ranging,and an ultrasonic sensor for ground ranging. A high performance propeller system is built on an X-UFO quad rotor airframe. The developing flying robot is shown to have an automatic hovering ability with aid of a ground control system that uses mon itoring and a fail-safe system. We will introduce a new quad rotor platform for realizing autonomous navigation in unknown indoor/outdoor environments. Au tonomous waypoint navigation,obs tacle avoidance and flight control is implemented on-board. The system does not require a special environment,artificial markers or an external reference system. We will develop a monolithic,mechanically damped perception unit which is equipped with a stereo camera pair,an Inertial Measurement Unit (IMU),two processor and an FPGA board.
IRJET- Autonomous Operation and Controlling of Unmanned Ariel Vehicle (UA...IRJET Journal
This document summarizes a research project involving the development of an autonomous unmanned aerial vehicle (UAV) system capable of remote operation over the internet. The system uses a Raspberry Pi computer to control the UAV and transmit live video and sensor data to a web interface. Key features of the UAV system include autonomous navigation using GPS waypoints, object detection and collision avoidance sensors, a wireless internet connection for long-range control, and a camera for live video streaming. The system is intended for applications like surveillance and monitoring in difficult to access areas.
This document describes a proposed robot that would help protect wildlife using sensors and navigation capabilities. The robot, called a bot, would use an ultrasonic sensor connected to an Arduino Uno microcontroller to detect obstacles, people, or animals. The Arduino code would allow the bot to change direction to avoid collisions. Its goal is to help reduce accidents involving animals in forests and roads by continuously monitoring endangered animals and plants. The bot design incorporates components like a battery, motor, and switches to power movement. Experimental results show the bot can detect distance and change speed/velocity/acceleration based on sensor readings to navigate around detected objects. The bot aims to help conserve wildlife habitats and populations through non-intrusive monitoring using emerging IoT
The document describes a project report submitted by Stuti Vyas, Drashti Sheth, and Jay Vala for their Bachelor of Engineering degree. It outlines the development of a quadcopter surveillance system, including the components used, methods for designing and assembling the frame and circuits, and testing procedures. The quadcopter is intended to be remotely operated and carry a wireless camera for surveillance applications.
Tri-Rotor UAV Stabilisation and ControlIRJET Journal
This document summarizes a research project on developing a tri-rotor unmanned aerial vehicle (UAV) for remote aerial surveillance. The project involves designing a tri-rotor UAV with vertical take-off and landing capability along with a control system to stabilize and direct its flight. A wireless camera attached to the UAV transmits live video to a ground station for monitoring purposes. The ground station allows an operator to view the video and generate control signals to adjust the camera position and direct the UAV's path of flight. The document describes the hardware components of the UAV and ground station as well as the communication system and flight control algorithms used to control the tri-rotor UAV.
This document is a project report submitted by three students for their Bachelor of Technology degree. It outlines the design and implementation of an unmanned aerial vehicle (UAV) in the form of a quadcopter for campus surveillance. The quadcopter will house a camera and use a wireless transmission system to provide live video feed from the camera to a ground station. Sensors such as an IMU and GPS will be used to help stabilize and navigate the quadcopter. An onboard processor and flight controller using Arduino will control the quadcopter. The project aims to develop a low-cost and lightweight surveillance drone.
In the past decade Unmanned Aerial Vehicles (UAVs) have become a topic of interest in many research organizations. UAVs are finding applications in various areas ranging from military applications to traffic surveillance. This paper is a survey for a certain kind of UAV called quadrotor or quadcopter. Researchers are frequently choosing quadrotors for their research because a quadrotor can accurately and efficiently perform tasks that would be of high risk for a human pilot to perform. This paper encompasses the dynamic models of a quadrotor and the different model-dependent and model-independent control techniques and their comparison. Recently, focus has shifted to designing autonomous quadrotors. A summary of the various localization and navigation techniques has been given. Lastly, the paper investigates the potential applications of quadrotors and their role in multi-agent systems.
Dual-rotor aerospace experiment with reconfigurable
dynamic components for mechatronics exploration
and controls.
To learn more connect us 044-2833 0999 or write us to infoindia@edutech.com
REMOTE CONTROLLED QUADCOPTER -
• A quadrotor helicopter that is lifted and propelled by four rotors and controlled by remote by making variation in the speed of is four motors.
• 4 BLDC motors used as rotor which are controlled by the 4 ESCs connected with the FCB.
• 6 channel Transmitter and Reciever is used to communicate with the on board FCB with proper calibration.
• PI settings need to be done in its Aileron, Elevator, Rudder with different configurations of the remote sticks and the other level settings.
• Whole system of Quad is powered by 12V LiPo battery.
Pesticides spraying using Agricultural DroneIRJET Journal
1. The document discusses the use of agricultural drones for pesticide spraying on farms. It aims to create an intuitive user interface for farmers to control drones and spray pesticides across their entire property remotely.
2. The proposed system involves integrating a sprinkler mechanism onto a drone that can be controlled by a farmer using a transmitter and receiver. This allows the drone to spray pesticides and fertilizers over large fields efficiently.
3. Some key advantages of using agricultural drones for spraying include increased speed, more uniform spraying, reduced water and pesticide usage, and protecting farmer health by reducing manual spraying. However, challenges include limited battery life and higher costs compared to traditional spraying methods.
This document summarizes a proposed crash avoidance system for drones. When one of a drone's motors fails, the system would allow the pilot to manually switch the drone from a quadcopter to a tricopter configuration using a signal sent to the flight controller. This would maintain pilot control and allow the drone to safely land. The system would involve connecting an Arduino board to the flight controller to receive the pilot's signal and cut power to the failed motor while keeping the other three motors operational during the transition, ensuring stable controlled landing. A literature review found that existing methods focus on software solutions while this approach addresses the problem from both a software and hardware perspective.
This document discusses unmanned aerial vehicles (UAVs or drones) and their components. It provides information on:
1) The basic components of a quadcopter drone, including the frame, motors, electronic speed controllers (ESCs), inertial measurement unit (IMU), GPS, autopilot/flight controller, flight computer, battery, and camera.
2) Key software used in drone systems, such as DroneKit, QGroundControl, Mission Planner, MAVLink, and MAVProxy.
3) The roles of the autopilot/flight controller, ESCs, brushless motors, IMU, GPS, telemetry, and camera in drone functionality and autonomous flight.
Design and Fabrication of Quadcopter for Health Crare Purposes (Final Present...MuhmammadBilal
This document describes a project to design and fabricate a quadcopter for healthcare purposes. A group of students designed an X-shaped quadcopter that can lift 50-100 grams to deliver medical supplies. They conducted research on using drones for emergency response. The proposed methodology controls four motors with an Arduino flight controller. Simulation results demonstrated speed control of individual motors and the full drone. A physical prototype was built and tested that had a stable flight and could lift the required weight. The project addressed using quadcopters to reduce emergency response times.
Three-Axis Auto Stabilizing Video Camera PlatformEklavya Sharma
Basically auto-stabilizing platform consists of platform which is balanced by movement of three servo motors in opposite direction to the movement of the platform. Arduino Uno process the tilt angles obtained from MPU-6050 and give instruction to the respective servo motors to rotate by certain angle depending on its previous position to balance or control the platform. The intent of the platform design is to maintain the platform at an initially selected angle while the support structure orientation changes. The software was written with logic to convert the digital data from the accelerometer and gyroscope to an acceleration and gyro magnitude vector and then converted
in degrees. The InvenSense MPU-6050 sensor contains a 3axis MEMS accelerometer and a 3axis MEMS gyro in a single chip whose outputs are calibrated properly by using KALMAN FILTER
to give the precise angle. The magnitude of the angle was then compared to a predetermined mathematical function to infer the angle of tilt of the platform. The angle of tilt is then converted
to angle of rotation for the servos to adjust their current position and bring the platform in balanced condition. Testing showed the platform to perform as expected. Although some error on the final angle was expected, the magnitude of the error observed indicated the platform design has a high sensitivity to low tolerance mechanical joints (slop). Overall the platform design was validated based on the positional accuracy of the platform given the low quality components used to create it. In other words, the platform performed greater than the sum of its parts.
This document summarizes a student presentation on the design and implementation of an autonomous quadcopter. It describes adding sensors to measure temperature, humidity, CO2, and include real-time monitoring. The quadcopter uses a custom GPS system for autonomous flight controlled by an Android device. It can automatically takeoff and land using DroneKit software. The presentation team aims to add image recognition using OpenCV and automatic landing detection of specific patterns. They also want to add obstacle detection during flight.
The document describes a PRS NANO UAV system designed to gather intelligence and monitor enemy activities to minimize military and civilian casualties. The UAV is shaped like a dragonfly for covert surveillance. It uses an ESP 32 WIFI camera and is controlled through an RF transmitter and receiver while images are viewed on a mobile phone. The BLDC motor and propellers enable takeoff, flight, and landing while the microcontroller processes sensor data and controls flight. The UAV aims to safely provide military intelligence through undetectable surveillance.
This document describes a smart alignment system that uses light sensors and servo motors to automatically adjust the position of an object based on the direction of a light source. The system has four light dependent resistors (LDRs) that detect light levels and send signals to an Arduino microcontroller. The Arduino controls two servo motors that physically move the object east-west or angularly based on which LDRs detect more light. The goal is to reduce human effort by allowing automatic positioning of an object simply by moving a light source. Experimental results showed the system successfully tracked a light source in two axes of movement.
The document summarizes a student project report on building a drone. It includes specifications of the drone such as indoor/outdoor operation, altitude hold, 0.5MP camera, 360 degree flips, 3.7V 300mAh battery with 60-80 minute charging time. Potential uses are also listed such as surveillance, wildlife monitoring, disaster management, agriculture. The technical components of the drone are then described, including the lithium polymer battery, motors, electronic speed controllers (ESCs), flight controller, radio transmitter, and common materials for the frame like aluminum and thermoplastics. Literature resources on drones and their applications are referenced at the end.
Multirotor control ua vs based on fuzzy logicAntonio Chica
This document discusses the use of fuzzy logic control for unmanned aerial vehicles (UAVs), specifically quadrotors. It provides background on UAVs and quadrotors, including their components and degrees of freedom. Fuzzy logic control is described as an effective method for controlling nonlinear systems like quadrotors. Several previous studies applying fuzzy logic control to UAVs, robotics, and quadrotor trajectory tracking are summarized. The key components of UAV control - perception, localization, planning and navigation - are also overviewed.
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.
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Slides used for the International Upcycling Research Network advisory board 4 (last one). The project is based at De Montfort University in Leicester, UK, and funded by the Arts and Humanities Research Council.
Practical eLearning Makeovers for EveryoneBianca Woods
Welcome to Practical eLearning Makeovers for Everyone. In this presentation, we’ll take a look at a bunch of easy-to-use visual design tips and tricks. And we’ll do this by using them to spruce up some eLearning screens that are in dire need of a new look.
