DocumentCode :
3276349
Title :
Adaptive wavelet neural network control for dc motors via second-order sliding-mode approach
Author :
Chung, Chun-an ; Lee, Tsu-Tian ; Tien, Ching-Cheng ; Hsu, Chun-fei
Author_Institution :
Dept. of Electr. Eng., Chung Hua Univ., Hsinchu, Taiwan
Volume :
3
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
1174
Lastpage :
1179
Abstract :
This paper proposes an adaptive wavelet neural network control (AWNNC) system which is composed of a neural controller and a smooth compensator via second-order sliding-mode approach. The neural controller utilizes a wavelet neural network to approximate an ideal second-order sliding-mode controller and the smooth compensator is designed to guarantee the system stability without occurring chattering phenomena. Moreover, to speedup the convergence of the tracking error, a proportional-integral-derivative type adaptation tuning mechanism is derived based on Lyapunov stability theory. Finally, the proposed AWNNC method is implemented on a field programmable gate array chip and is applied to a DC motor to show its effectiveness. The experimental results verify the system stabilization and the favorable tracking performance can be achieved by the proposed AWNNC system even under the change of the command trajectory and frequency.
Keywords :
DC motors; Lyapunov methods; adaptive control; control system synthesis; convergence; field programmable gate arrays; machine control; neurocontrollers; three-term control; variable structure systems; wavelet transforms; DC motors; Lyapunov stability theory; adaptive wavelet neural network control system; chattering phenomena; field programmable gate array chip; proportional-integral-derivative type adaptation tuning mechanism; second-order sliding-mode approach; smooth compensator; system stability; tracking error; Adaptive systems; Approximation methods; Artificial neural networks; Control systems; DC motors; Logic gates; Rotors; Adaptive control; Lyapunov stability; Neural network control; Smooth compensator; Wavelet neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
ISSN :
2160-133X
Print_ISBN :
978-1-4577-0305-8
Type :
conf
DOI :
10.1109/ICMLC.2011.6016884
Filename :
6016884
Link To Document :
بازگشت