DocumentCode :
2666859
Title :
Output feedback neural control of helicopters
Author :
Ge, S.S. ; Peng, Tee ; Zhendong, Sun ; Xin, Liu ; Hailong, Pei
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
fYear :
2008
fDate :
16-18 July 2008
Firstpage :
696
Lastpage :
700
Abstract :
This paper presents output feedback neural control for helicopters in single-channel modes of operation with dynamics in single-input single-output (SISO) nonlinear nonaffine form. A constructive approach for adaptive NN control design with guaranteed stability is proposed based on the use of the Implicit Function Theorem, Mean Value Theorem, and high gain observer. It is shown that the output tracking error converges to a small neighborhood of the origin, while the remaining closed-loop signals remain bounded. The simulation study demonstrates the effectiveness of the proposed control.
Keywords :
adaptive control; aircraft control; closed loop systems; control system synthesis; convergence; feedback; helicopters; neurocontrollers; nonlinear control systems; observers; stability; vehicle dynamics; SISO; adaptive neural network control design; closed-loop signal; high gain observer; implicit function theorem; mean value theorem; output feedback neural control; output tracking error convergence; single-channel mode helicopter control; single-input single-output nonlinear nonaffine form; stability; Adaptive control; Aerodynamics; Dynamic programming; Helicopters; Linear feedback control systems; Neural networks; Nonlinear dynamical systems; Output feedback; Programmable control; Sliding mode control; Adaptive; Helicopter control; Neural networks; Output feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
Type :
conf
DOI :
10.1109/CHICC.2008.4605564
Filename :
4605564
Link To Document :
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