This document describes the design of a small-scale unmanned aerial vehicle (UAV) with a birotor configuration. It outlines a 10-step methodology for the design based on modeling physical processes, specifying hardware, and simulating and testing the system. Key aspects include developing mathematical models of the forces and torques acting on the birotor UAV. Hardware includes sensors, motors, and an embedded computing platform. System modeling integrates the physical and computational models to simulate the overall UAV design prior to implementation.
AUTO LANDING PROCESS FOR AUTONOMOUS FLYING ROBOT BY USING IMAGE PROCESSING BA...csandit
In today’s technological life, everyone is quite familiar with the importance of security
measures in our lives. So in this regard, many attempts have been made by researchers and one
of them is flying robots technology. One well-known usage of flying robot, perhaps, is its
capability in security and care measurements which made this device extremely practical, not
only for its unmanned movement, but also for the unique manoeuvre during flight over the
arbitrary areas. In this research, the automatic landing of a flying robot is discussed. The
system is based on the frequent interruptions that is sent from main microcontroller to camera
module in order to take images; these images have been distinguished by image processing
system based on edge detection, after analysing the image the system can tell whether or not to
land on the ground. This method shows better performance in terms of precision as well as
experimentally.
Stabilization of Six-Legged Robot on Tilt Surface With 9 DOF IMU Based on Inv...IJRES Journal
Robot is a tool which is developed very fast. There are several types of robots, one of them is six-legged robot. One of the problems of this robot is when the robot walks on the tilt surface. This would result the movement of the robot could be late and the center of gravity is not balanced. In this research, stabilization of six-legged robot walking on tilt surface using nine degree of freedom (DOF) inertial measurement unit (IMU) sensor based on invers kinematic is designed. The IMU sensor comprises a gyroscope, a magnetometer, and three-axis accelerometer. This sensor works as the input of the tilt degree and heading of the robot, therefore they can be processed in fuzzy-pid controller to balance the body of the robot on tilt surface. The results show that the robot will move forward when the x-axis translation inverse changed from its original position, move aside when the y-axis translational modified and move up and down if the translation to the z-axis was changed. From the testing of IMU get the total of RMSE pitch is 1,73%, roll =1,67% and yaw = 1,24%. In controller fuzzy-pid get the good respon is on the value Kp have k1=0,5, k2=1 , k3 = 3 , Ki have k1=0,5 , k2=0,5, k3=0,5 and Kd have k1=0,25 , k2=0,35 dan k3=0,45.
AUTO LANDING PROCESS FOR AUTONOMOUS FLYING ROBOT BY USING IMAGE PROCESSING BA...csandit
In today’s technological life, everyone is quite familiar with the importance of security
measures in our lives. So in this regard, many attempts have been made by researchers and one
of them is flying robots technology. One well-known usage of flying robot, perhaps, is its
capability in security and care measurements which made this device extremely practical, not
only for its unmanned movement, but also for the unique manoeuvre during flight over the
arbitrary areas. In this research, the automatic landing of a flying robot is discussed. The
system is based on the frequent interruptions that is sent from main microcontroller to camera
module in order to take images; these images have been distinguished by image processing
system based on edge detection, after analysing the image the system can tell whether or not to
land on the ground. This method shows better performance in terms of precision as well as
experimentally.
Stabilization of Six-Legged Robot on Tilt Surface With 9 DOF IMU Based on Inv...IJRES Journal
Robot is a tool which is developed very fast. There are several types of robots, one of them is six-legged robot. One of the problems of this robot is when the robot walks on the tilt surface. This would result the movement of the robot could be late and the center of gravity is not balanced. In this research, stabilization of six-legged robot walking on tilt surface using nine degree of freedom (DOF) inertial measurement unit (IMU) sensor based on invers kinematic is designed. The IMU sensor comprises a gyroscope, a magnetometer, and three-axis accelerometer. This sensor works as the input of the tilt degree and heading of the robot, therefore they can be processed in fuzzy-pid controller to balance the body of the robot on tilt surface. The results show that the robot will move forward when the x-axis translation inverse changed from its original position, move aside when the y-axis translational modified and move up and down if the translation to the z-axis was changed. From the testing of IMU get the total of RMSE pitch is 1,73%, roll =1,67% and yaw = 1,24%. In controller fuzzy-pid get the good respon is on the value Kp have k1=0,5, k2=1 , k3 = 3 , Ki have k1=0,5 , k2=0,5, k3=0,5 and Kd have k1=0,25 , k2=0,35 dan k3=0,45.
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In designing an Unmanned Aerial Vehicle (UAV), such as quadrotor, sometimes an engineer should consider the required cost that is relatively expensive. As we know, quadrotor is one of robots that very usefull and has several advantages for human needs such as disaster area monitoring, air quality monitoring, area mapping, aerial photography, and surveillance. Thus, designing a rapid quadrotor with low-cost components and simple control system needs to be considered here. This paper presents design and implementation of a quadrotor using relatively low-cost components with Proportional Integral Derivative (PID) control system as its controller. The components used consist of microcontroller, Inertial Measurement Unit (IMU) sensor, Brushless Direct Current (BLDC) motor, Electronic Speed Control (ESC), remote control unit, battery, and frame. These components can be easily found in the electronic markets, especially in Indonesia. As an addition, this paper also describes PID control system as flight controller. A simple economic analysis is presented to clarify the cost in designing this quadrotor. Based on experimental testing result, the quadrotor able to fly stably with PID controller although there still overshoot at the attitude responses.
HUMAN BODY DETECTION AND SAFETY CARE SYSTEM FOR A FLYING ROBOTcscpconf
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humans, also, generate an extractor according to its edge information. This method shows better performance in term of precision as well as speed experimentally.
HUMAN BODY DETECTION AND SAFETY CARE SYSTEM FOR A FLYING ROBOTcsandit
Image-processing is one the challenging issue in robotic as well as electrical engineering
research contexts. This study proposes a system for extract and tracking objects by a
quadcopter’s flying robot and how to extract the human body. It is observed in image taken
from real-time camera that is embedded bottom of the quadcopter, there is a variance in human
behaviour being tracked or recorded such as position and, size, of the human. In the regard, the
paper tries to investigate an image-processing method for tracking humans’ body, concurrently.
For this process, an extraction method, which defines features to distinguish a human body, is
proposed. The proposed method creates a virtual shape of bodies for recognizing the body of
humans, also, generate an extractor according to its edge information. This method shows
better performance in term of precision as well as speed experimentally.
Implementation of Efficiency CORDIC Algorithmfor Sine & Cosine GenerationIOSR Journals
Abstract: This paper presents an area-time efficient coordinate rotation digital computer (CORDIC) algorithm that completely eliminates the scale-factor. A generalized micro-rotation selection technique based on high speed most-significant-1-detection obviates the complex search algorithms for identifying the micro-rotations. This algorithm is redefined as the elementary angles for reducing the number of CORDIC iterations. Compared to the existing re-cursive architectures the proposed one has 17% lower slice-delay product on Xilinx Spartan XC2S200E device. The CORDIC processor pro-vides the flexibility to manipulate the number of iterations depending on the accuracy, area and latency requirements. Index Terms—coordinate rotation digital computer (CORDIC), cosine/sine, field-programmable gate array(FPGA),most-significant-1, recursive architecture.
Fractional order PID controller tuned by bat algorithm for robot trajectory c...nooriasukmaningtyas
This paper deals with implementing the tuning process of the gains of fractional order proportional integral derivative (FOPID) controller designed for trajectory tracking control for two-link robotic manipulators by using a Bat algorithm. Two objective functions with weight values assigned has been utilized for achieving the minimization operation of errors in joint positions and torque outputs values of robotic manipulators. To show the effectiveness of using a Bat algorithm in tuning FOPID parameters, a comparison has been made with particle swarm optimization algorithm (PSO). The validity of the proposed controllers has been examined in case of presence of disturbance and friction. The results of simulations have clearly explained the efficiency of FOPID controller tuned by Bat algorithm as compared with FOPID controller tuned by PSO algorithm.
Case Study on IV&V of Attitude and Heading Reference SystemOak Systems
The Attitude and Heading Reference System provides attitude, heading, linear accelerations, and angular rate data to the interfacing system, i.e., the ADIU.
In addition to these parameters, the system shall also provide built-in test information to the ADIU simultaneously.
The system takes external magnetometer data frames and air data frames from the ADIU and uses these data to aid the inertial data.
The system also supports maintenance mode, in which it performs the compass swing procedure for the calibration of the internal and external magnetometers. The system also performs an in-situ firmware upgrade in the maintenance mode, among other functions.
It has both an inertial measurement unit and a navigational unit. Both perform POST and CBIT independently as a part of their health monitoring. Both communicate through a UART interface for the transfer of data using a packet-based data protocol with error checking. A second UART interface is provided for redundancy.
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behaviour being tracked or recorded such as position and, size, of the human. In the regard, the
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Paper presentation at International Conference on Unmanned Aircraft Systems 2013
1. Small Scale UAV with Birotor Configuration
Small Scale UAV with Birotor
Configuration
F. S. Gon¸alvesa , J. P. Bodanesea , R. Donadela , G. V. Raffob , J. E.
c
Normey-Ricoa , L. B. Beckera
a
Department of Automation and Systems
Federal University of Santa Catarina - Brazil
b
Department of Electronic Engineering
Federal University of Minas Gerais - Brazil
The 2013 International Conference on Unmanned Aircraft Systems,
May 30, 2013
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
1
2. Small Scale UAV with Birotor Configuration
Outline
1
Introduction
2
Methodology
3
Model the Physical Processes (Step 2)
4
Hardware Specification (Step 6)
5
System Modelling (Step 3)
6
Conclusions and Future Works
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
2
3. Small Scale UAV with Birotor Configuration
Introduction
Outline
1
Introduction
2
Methodology
3
Model the Physical Processes (Step 2)
4
Hardware Specification (Step 6)
5
System Modelling (Step 3)
6
Conclusions and Future Works
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
3
4. Small Scale UAV with Birotor Configuration
Introduction
Introduction
Proposed UAV Description
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
4
5. Small Scale UAV with Birotor Configuration
Introduction
Introduction
Proposed UAV Description
Base station possible actions:
The UAV has 3 operation modes:
⇒ Configure a mission.
⇒ Autonomous flight mode.
⇒ Start an autonomous flight.
⇒ Safe mode.
⇒ Abort a mission.
⇒ Maintenance mode.
⇒ Monitor flight information.
⇒ Perform verification tests in
the UAV.
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
4
6. Small Scale UAV with Birotor Configuration
Introduction
Introduction
Motivation
⇒ Absence of a guide/tutorial for building the UAV;
⇒ Existing aircrafts are a black blox;
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
5
7. Small Scale UAV with Birotor Configuration
Introduction
Introduction
Tiltrotor UAV
Physical System
⇒ Rotors can tilt longitudionally
⇒ Fixed tilt angle laterally
⇒ Center of mass displaced in the Z axis
System’s characteristics
⇒ Underactuated mechanical systems
⇒ Highly nonlinear and time varying
behavior
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
6
8. Small Scale UAV with Birotor Configuration
Introduction
Introduction
Paper’s Goals
Describe the design methodology used to guide the project;
Present a preliminary mathematical model of the forces and torques
that generate the montion of the UAV;
Detail the embedded computing platform;
Presents and discusses the computational model created to represent
the design and support simulation activities.
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
7
9. Small Scale UAV with Birotor Configuration
Methodology
Outline
1
Introduction
2
Methodology
3
Model the Physical Processes (Step 2)
4
Hardware Specification (Step 6)
5
System Modelling (Step 3)
6
Conclusions and Future Works
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
8
10. Small Scale UAV with Birotor Configuration
Methodology
Methodology
” model-based design methodology for cyber-physical systems.”
A
,
published by J. Jensen, D. Chang, and E. Lee.
The methodology consists of 10 steps:
⇒ Step 1: State the Problem
⇒ Step 2: Model the Physical Processes
⇒ Step 3: Characterize the Problem
⇒ Step 4: Derive a Control Algorithm
⇒ Step 5: Select Models of Computation
⇒ Step 6: Specify Hardware
⇒ Step 7: Simulate
⇒ Step 8: Construct
⇒ Step 9: Synthesize Software
⇒ Step 10: Verify, and Validate, and Test
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
9
11. Small Scale UAV with Birotor Configuration
Methodology
Methodology
” model-based design methodology for cyber-physical systems.”
A
,
published by J. Jensen, D. Chang, and E. Lee.
The methodology consists of 10 steps:
⇒ Step 1: State the Problem
⇒ Step 2: Model the Physical Processes
⇒ Step 3: Characterize the Problem
⇒ Step 4: Derive a Control Algorithm
⇒ Step 5: Select Models of Computation
⇒ Step 6: Specify Hardware
⇒ Step 7: Simulate
⇒ Step 8: Construct
⇒ Step 9: Synthesize Software
⇒ Step 10: Verify, and Validate, and Test
Gon¸alves, Bodanese, Donadel, Raffo, Normey-Rico, Becker
c
Small Scale UAV with Birotor Configuration
ICUAS’2013
9
12. Small Scale UAV with Birotor Configuration
Methodology
Methodology
” model-based design methodology for cyber-physical systems.”
A
,
published by J. Jensen, D. Chang, and E. Lee.
The methodology consists of 10 steps:
⇒ Step 1: State the Problem
⇒ Step 2: Model the Physical Processes
⇒ Step 3: Characterize the Problem
⇒ Step 4: Derive a Control Algorithm
⇒ Step 5: Select Models of Computation
⇒ Step 6: Specify Hardware
⇒ Step 7: Simulate
⇒ Step 8: Construct
⇒ Step 9: Synthesize Software
⇒ Step 10: Verify, and Validate, and Test
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13. Small Scale UAV with Birotor Configuration
Model the Physical Processes (Step 2)
Outline
1
Introduction
2
Methodology
3
Model the Physical Processes (Step 2)
4
Hardware Specification (Step 6)
5
System Modelling (Step 3)
6
Conclusions and Future Works
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14. Small Scale UAV with Birotor Configuration
Model the Physical Processes (Step 2)
Mathematical Modeling for Control Purposes
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15. Small Scale UAV with Birotor Configuration
Model the Physical Processes (Step 2)
Mathematical Modeling for Control Purposes
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R
FR = 0
0
fR
L
FL = 0
0
fL
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16. Small Scale UAV with Birotor Configuration
Model the Physical Processes (Step 2)
Mathematical Modeling for Control Purposes
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R
FR = 0
0
fR
L
FL = 0
0
fL
B
FR
B
fRx
−sin(αR )cos(β)
B
fR (1)
sin(β)
= fRy =
B
cos(αR )cos(β)
fRz
B
FL
B
fLx
−sin(αL )cos(β)
B
fL (2)
−sin(β)
= fLy =
B
cos(αL )cos(β)
fLz
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17. Small Scale UAV with Birotor Configuration
Model the Physical Processes (Step 2)
Mathematical Modeling for Control Purposes
Torque around Z axis
τψ = τfRx + τfLx + τRzdrag + τLzdrag
B
B
τψ = (fRx − fLx )l + kτ (Ω2 cos(αR ) − Ω2 cos(αL ))cos(β)
R
L
τψ = [(sin(αL )fL − sin(αR )fR )cos(β)l + kτ (Ω2 cos(αR )
R
(3)
− Ω2 cos(αL ))cos(β)
L
Torque around Z axis.
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18. Small Scale UAV with Birotor Configuration
Model the Physical Processes (Step 2)
Mathematical Modeling for Control Purposes
Torque araund Y axis
τθ = τfRx + τfLx + τRydrag + τLydrag
B
B
τθ = (fRx + fLx )rz + kτ (Ω2 − Ω2 )sin(β)
R
L
τθ = −(sin(αR )fR + sin(αL )fL )cos(β)rz
(4)
+ kτ (Ω2 cos(αR ) − Ω2 cos(αL ))sin(β)
R
L
Torque around Y axis.
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19. Small Scale UAV with Birotor Configuration
Model the Physical Processes (Step 2)
Mathematical Modeling for Control Purposes
Torque araund X axis
τφ = τfRz + τfLz + τRxdrag + τLxdrag
B
B
τφ = (fLz − fRz )cos(γ)l + kτ (Ω2 sin(αL ) − Ω2 sin(αR ))cos(β)
L
R
τφ = (cos(αL )fL − cos(αR )fR )cos(β)cos(γ)l + kτ (Ω2 sin(αL )
L
(5)
− Ω2 sin(αR ))cos(β)
R
Torque around X axis.
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20. Small Scale UAV with Birotor Configuration
Hardware Specification (Step 6)
Outline
1
Introduction
2
Methodology
3
Model the Physical Processes (Step 2)
4
Hardware Specification (Step 6)
5
System Modelling (Step 3)
6
Conclusions and Future Works
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21. Small Scale UAV with Birotor Configuration
Hardware Specification (Step 6)
System Architecture
Autonomous Flight Support Equipment
Specified hardwares to meet
the requirements
⇒ Inertial Measurement Unit
(IMU)
⇒ Global Positioning System
(GPS)
⇒ Ultrasonic sensor
⇒ Brushless motor and
propeller (rotor)
⇒ Servomotor
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22. Small Scale UAV with Birotor Configuration
Hardware Specification (Step 6)
System Architecture
Embedded Platform
Features considered for the development
platform:
⇒ Performance
⇒ Communication interfaces
⇒ Size
⇒ Support for wireless communication
⇒ Low Cost
Chosen platform: Beaglebone
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23. Small Scale UAV with Birotor Configuration
Hardware Specification (Step 6)
System Architecture
Communication Structure
MRF24J40MC
⇒ Produced by Microchip;
⇒ Implements the 2.4 GHz IEEE 802.15.4;
⇒ Range up to 4000 ft.
⇒ Uses the Serial Peripheral Interface (SPI) as
communication protocol;
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24. Small Scale UAV with Birotor Configuration
Hardware Specification (Step 6)
System Architecture
Communication Structure
Communication layers structure
Applications
User Space
Transport
IPv6
Kernel Space
6LowPan
Adaptation Layer
MAC
MRF24J40MC
PHY
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25. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Outline
1
Introduction
2
Methodology
3
Model the Physical Processes (Step 2)
4
Hardware Specification (Step 6)
5
System Modelling (Step 3)
6
Conclusions and Future Works
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26. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Simulink Model
Main structure
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27. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Simulink Model
Main structure
Base station
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28. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Simulink Model
UAV Model
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29. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Simulink Model
UAV Model
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30. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Simulink Model
UAV Model
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31. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Simulink Model
UAV Model
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32. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Simulink Model
UAV Model
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33. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Data Processing Subsystem
Composed of the sensors, actuators and the transformation of the
raw data to the measurement unit expected of each component
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34. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Data Processing Subsystem
Composed of the sensors, actuators and the transformation of the
raw data to the measurement unit expected of each component
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35. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Data Processing Subsystem
Transformation of the raw data
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36. Small Scale UAV with Birotor Configuration
System Modelling (Step 3)
Continous Control Subsystem
Continous Control Subsystem
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37. Small Scale UAV with Birotor Configuration
Conclusions and Future Works
Outline
1
Introduction
2
Methodology
3
Model the Physical Processes (Step 2)
4
Hardware Specification (Step 6)
5
System Modelling (Step 3)
6
Conclusions and Future Works
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38. Small Scale UAV with Birotor Configuration
Conclusions and Future Works
Conclusions and Future Works
Paper contribution:
⇒ Building the airframe;
⇒ Covering the methodology
steps on the project;
⇒ Communicating the sensors
with the embedded platform
⇒ ProVant website http:
//provant.das.ufsc.br;
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39. Small Scale UAV with Birotor Configuration
Conclusions and Future Works
Conclusions and Future Works
Paper contribution:
Future work:
⇒ Building the airframe;
⇒ Design and validation of
different control strategies;
⇒ Covering the methodology
steps on the project;
⇒ Real-time behavior on the
computation platform;
⇒ Communicating the sensors
with the embedded platform
⇒ ProVant website http:
//provant.das.ufsc.br;
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40. Small Scale UAV with Birotor Configuration
Conclusions and Future Works
Team
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41. Small Scale UAV with Birotor Configuration
Conclusions and Future Works
Thank you for your attention
Questions?
Contacts
goncalves@das.ufsc.br
lbecker@das.ufsc.br
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