DocumentCode :
1892647
Title :
Robust Attitude Controller for Unmanned Aerial Vehicle Using Dynamic Inversion and Extended State Observer
Author :
Yuan, Ruyi ; Fan, Guoliang ; Yi, Jianqiang ; Yu, Wensheng
Author_Institution :
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Volume :
1
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
850
Lastpage :
853
Abstract :
A robust feedback linearization controller is presented for attitude control of an unmanned aerial vehicle (UAV). The objective of this controller is to make the roll angle, pitch angle, and yaw angle track the given trajectories(commands) respectively. This design is developed using dynamic inversion and extended state observer (ESO). Firstly, dynamic inversion is used to linearize and decouple UAV attitude system into three single-input-single-output (SISO) systems, then three proportional-derivative (PD) controllers are designed for these linearized systems. Extended state observers are used to estimate and compensate unmodeled dynamics and extent disturbances. Simulation results show that the proposed controller is effective and robust.
Keywords :
PD control; attitude control; control system synthesis; feedback; linearisation techniques; nonlinear control systems; nonlinear dynamical systems; observers; position control; remotely operated vehicles; robust control; ESO; PD control; SISO; UAV; attitude control; dynamic inversion; extended state observer; pitch angle; proportional-derivative controller design; robust feedback linearization controller; roll angle; single-input-single-output system; trajectory tracking; unmanned aerial vehicle; yaw angle; Attitude control; Control systems; Linear feedback control systems; Observers; PD control; Proportional control; Robust control; Trajectory; Unmanned aerial vehicles; Vehicle dynamics; attitude control; dynamic inversion; extended state observer; robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.212
Filename :
5287508
Link To Document :
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