International Journal of Control, Automation and Systems 2011; 9(1): 50-59
Published online February 12, 2011
https://doi.org/10.1007/s12555-011-0107-5
© The International Journal of Control, Automation, and Systems
In this paper, an adaptive controller with structurally dynamic wavelet network is developed for a harmonic drive subject to parameter varying friction. The control architecture integrates a proportional controller, a feedback adaptive component and sliding component to adaptively compensate for the friction to achieve accurate position tracking. Global asymptotic stability of the algorithm is proved by using Lyapunov function. In parallel to the adaptive controller, a fuzzy reconfiguration scheme is devised to change the structure of the network along with weights updating to improve the system tracking performance and robustness. Experimental tests on a harmonic drive manipulator verify the effectiveness of the proposed control method.
Keywords Adaptive control, friction compensation, fuzzy logic, harmonic drive, wavelet network.
International Journal of Control, Automation and Systems 2011; 9(1): 50-59
Published online February 1, 2011 https://doi.org/10.1007/s12555-011-0107-5
Copyright © The International Journal of Control, Automation, and Systems.
Alireza Tadayoni, Wen-Fang Xie, and Brandon W. Gordon
Concordia University, Canada
In this paper, an adaptive controller with structurally dynamic wavelet network is developed for a harmonic drive subject to parameter varying friction. The control architecture integrates a proportional controller, a feedback adaptive component and sliding component to adaptively compensate for the friction to achieve accurate position tracking. Global asymptotic stability of the algorithm is proved by using Lyapunov function. In parallel to the adaptive controller, a fuzzy reconfiguration scheme is devised to change the structure of the network along with weights updating to improve the system tracking performance and robustness. Experimental tests on a harmonic drive manipulator verify the effectiveness of the proposed control method.
Keywords: Adaptive control, friction compensation, fuzzy logic, harmonic drive, wavelet network.
Vol. 23, No. 3, pp. 683~972
Chenchen Sun, Guofang Gong*, and Huayong Yang
International Journal of Control, Automation and Systems 2020; 18(2): 363-373Sung-Hoon Yu, Hyo Seok Kang, Yong-Tae Kim, Chang-Ho Hyun*, and Mignon Park
International Journal of Control, Automation and Systems 2014; 12(1): 188-194Xingjian Wang, Shaoping Wang, and Bin Yao
International Journal of Control, Automation and Systems 2013; 11(2): 325-332