Output feedback observation and control for visual servoing of VTOL UAVs
Identifieur interne : 006360 ( Main/Exploration ); précédent : 006359; suivant : 006361Output feedback observation and control for visual servoing of VTOL UAVs
Auteurs : Florent Le Bras [France] ; Tarek Hamel [France] ; Robert Mahony [Australie] ; Aurélie Treil [France]Source :
- International Journal of Robust and Nonlinear Control [ 1049-8923 ] ; 2011-06.
Descripteurs français
- Wicri :
- topic : Droit d'auteur, Hélicoptère, Simulation.
English descriptors
- KwdEn :
- 2amax, 2amax lmax, Adaptive, Aerial vehicle, Aerial vehicles, Algorithm, Amax, Amin, Angular velocity, Angular velocity measurement, Angular velocity measurements, Attitude estimation, Automatic control, Automation magazine, Autonomous helicopter, Bertin technologies, Bra, Camera image plane, Candidate lyapunov function, Centroid, Centroid vector, Complementary information, Control algorithm, Control algorithms, Control approach, Control architecture, Control assignment, Control design, Control engineering practice, Control error terms, Control gains, Control task, Copyright, Direct measurement, Dynamic system, Dynamics, Error terms, Estimation, Feedback, Feedback information, Full dynamics, Hamel, Helicopter, Ibvs, Ibvs control, Ieee, Ieee robotics, Ieee transactions, Ight, Image feature, Image features, Image measurements, Image plane, Image sequence, Implicit observer, Inertial frame, Information sciences, Initial condition, Initial positions, International federation, International journal, Jacobian matrix, John wiley sons, Linear velocity, Linear velocity measurements, Lmax, Lyapunov, Lyapunov function, Mahony, Main result, Matrix, Measurement noise, Mems components, Navigation system, Nonlinear, Nonlinear control, Nonlinear model, Nonlinear observer, Normal direction, Observer error terms, Obtains, Output feedback observation, Particular interest, Pixel location, Pixel locations, Pmin, Previous work, Primary controller, Project scuav, Rate gyros, Recherches balistiques, Relative position, Robust, Rotation matrix, Schwartz inequality, Secondary controller, Sensor, Sensor suite, Sensory control, Servo control, Servoing, Simulation, Simulation results, Sin2, Small vtol, State observers, Storage function, System dynamics, Target marks, Target plane, Target points, Tilt angle, Tmax, Torque torque, Trajectory, Uavs, Unknown parameter, Unknown scale factor, Urban areas, Vehicle dynamics, Video camera system, Vision systems, Visual dynamics, Visual length, Visual servo, Visual servo control, Visual servoing, Vtol, Vtol dynamics, Vtol uavs, Vtol vehicles, Wiley, World congress.
- Teeft :
- 2amax, 2amax lmax, Adaptive, Aerial vehicle, Aerial vehicles, Algorithm, Amax, Amin, Angular velocity, Angular velocity measurement, Angular velocity measurements, Attitude estimation, Automatic control, Automation magazine, Autonomous helicopter, Bertin technologies, Bra, Camera image plane, Candidate lyapunov function, Centroid, Centroid vector, Complementary information, Control algorithm, Control algorithms, Control approach, Control architecture, Control assignment, Control design, Control engineering practice, Control error terms, Control gains, Control task, Copyright, Direct measurement, Dynamic system, Dynamics, Error terms, Estimation, Feedback, Feedback information, Full dynamics, Hamel, Helicopter, Ibvs, Ibvs control, Ieee, Ieee robotics, Ieee transactions, Ight, Image feature, Image features, Image measurements, Image plane, Image sequence, Implicit observer, Inertial frame, Information sciences, Initial condition, Initial positions, International federation, International journal, Jacobian matrix, John wiley sons, Linear velocity, Linear velocity measurements, Lmax, Lyapunov, Lyapunov function, Mahony, Main result, Matrix, Measurement noise, Mems components, Navigation system, Nonlinear, Nonlinear control, Nonlinear model, Nonlinear observer, Normal direction, Observer error terms, Obtains, Output feedback observation, Particular interest, Pixel location, Pixel locations, Pmin, Previous work, Primary controller, Project scuav, Rate gyros, Recherches balistiques, Relative position, Robust, Rotation matrix, Schwartz inequality, Secondary controller, Sensor, Sensor suite, Sensory control, Servo control, Servoing, Simulation, Simulation results, Sin2, Small vtol, State observers, Storage function, System dynamics, Target marks, Target plane, Target points, Tilt angle, Tmax, Torque torque, Trajectory, Uavs, Unknown parameter, Unknown scale factor, Urban areas, Vehicle dynamics, Video camera system, Vision systems, Visual dynamics, Visual length, Visual servo, Visual servo control, Visual servoing, Vtol, Vtol dynamics, Vtol uavs, Vtol vehicles, Wiley, World congress.
Abstract
This paper considers the question of stabilizing vertical take‐off and landing (VTOL) unmanned aerial vehicles (UAVs) using a minimal and an inexpensive sensor suite. The sensor suite considered consists of rate gyros and a single embedded video camera system. The approach taken is based on the principles of dynamic image‐based visual servo control and extends the authors' earlier work by removing dependence on additional sensors, such as accelerometers and magnetometers. The technique presented has potential for mini‐UAVs evolving in urban areas where global positioning system signals may not be available. The control algorithms and coupled state observers are presented in details. The main result of the paper is synthesized in a theorem along with a rigorous stability analysis of the closed‐loop system. An estimate of the basin of attraction for the closed‐loop system is provided. Simulation results are performed to illustrate the performance of the proposed control. Copyright © 2010 John Wiley & Sons, Ltd.
Url:
DOI: 10.1002/rnc.1638
Affiliations:
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Le document en format XML
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<term>Algorithm</term>
<term>Amax</term>
<term>Amin</term>
<term>Angular velocity</term>
<term>Angular velocity measurement</term>
<term>Angular velocity measurements</term>
<term>Attitude estimation</term>
<term>Automatic control</term>
<term>Automation magazine</term>
<term>Autonomous helicopter</term>
<term>Bertin technologies</term>
<term>Bra</term>
<term>Camera image plane</term>
<term>Candidate lyapunov function</term>
<term>Centroid</term>
<term>Centroid vector</term>
<term>Complementary information</term>
<term>Control algorithm</term>
<term>Control algorithms</term>
<term>Control approach</term>
<term>Control architecture</term>
<term>Control assignment</term>
<term>Control design</term>
<term>Control engineering practice</term>
<term>Control error terms</term>
<term>Control gains</term>
<term>Control task</term>
<term>Copyright</term>
<term>Direct measurement</term>
<term>Dynamic system</term>
<term>Dynamics</term>
<term>Error terms</term>
<term>Estimation</term>
<term>Feedback</term>
<term>Feedback information</term>
<term>Full dynamics</term>
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<term>Helicopter</term>
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<term>Ieee transactions</term>
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<term>Image sequence</term>
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<term>Inertial frame</term>
<term>Information sciences</term>
<term>Initial condition</term>
<term>Initial positions</term>
<term>International federation</term>
<term>International journal</term>
<term>Jacobian matrix</term>
<term>John wiley sons</term>
<term>Linear velocity</term>
<term>Linear velocity measurements</term>
<term>Lmax</term>
<term>Lyapunov</term>
<term>Lyapunov function</term>
<term>Mahony</term>
<term>Main result</term>
<term>Matrix</term>
<term>Measurement noise</term>
<term>Mems components</term>
<term>Navigation system</term>
<term>Nonlinear</term>
<term>Nonlinear control</term>
<term>Nonlinear model</term>
<term>Nonlinear observer</term>
<term>Normal direction</term>
<term>Observer error terms</term>
<term>Obtains</term>
<term>Output feedback observation</term>
<term>Particular interest</term>
<term>Pixel location</term>
<term>Pixel locations</term>
<term>Pmin</term>
<term>Previous work</term>
<term>Primary controller</term>
<term>Project scuav</term>
<term>Rate gyros</term>
<term>Recherches balistiques</term>
<term>Relative position</term>
<term>Robust</term>
<term>Rotation matrix</term>
<term>Schwartz inequality</term>
<term>Secondary controller</term>
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<term>Sensor suite</term>
<term>Sensory control</term>
<term>Servo control</term>
<term>Servoing</term>
<term>Simulation</term>
<term>Simulation results</term>
<term>Sin2</term>
<term>Small vtol</term>
<term>State observers</term>
<term>Storage function</term>
<term>System dynamics</term>
<term>Target marks</term>
<term>Target plane</term>
<term>Target points</term>
<term>Tilt angle</term>
<term>Tmax</term>
<term>Torque torque</term>
<term>Trajectory</term>
<term>Uavs</term>
<term>Unknown parameter</term>
<term>Unknown scale factor</term>
<term>Urban areas</term>
<term>Vehicle dynamics</term>
<term>Video camera system</term>
<term>Vision systems</term>
<term>Visual dynamics</term>
<term>Visual length</term>
<term>Visual servo</term>
<term>Visual servo control</term>
<term>Visual servoing</term>
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<front><div type="abstract" xml:lang="en">This paper considers the question of stabilizing vertical take‐off and landing (VTOL) unmanned aerial vehicles (UAVs) using a minimal and an inexpensive sensor suite. The sensor suite considered consists of rate gyros and a single embedded video camera system. The approach taken is based on the principles of dynamic image‐based visual servo control and extends the authors' earlier work by removing dependence on additional sensors, such as accelerometers and magnetometers. The technique presented has potential for mini‐UAVs evolving in urban areas where global positioning system signals may not be available. The control algorithms and coupled state observers are presented in details. The main result of the paper is synthesized in a theorem along with a rigorous stability analysis of the closed‐loop system. An estimate of the basin of attraction for the closed‐loop system is provided. Simulation results are performed to illustrate the performance of the proposed control. Copyright © 2010 John Wiley & Sons, Ltd.</div>
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