標題: Robust neuro-fuzzy controller design via sliding-mode approach
作者: Hsu, CF
Lee, TT
Lin, CM
Chen, LY
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2004
摘要: The computed torque or inverse dynamics control techniques are based on a good understanding of the system dynamics and even its environment. For the real-time applications, the system dynamics always is difficult to obtain. To tackle this drawback, the goal of this paper is to develop a model-free control method which is referred to as robust neuro-fuzzy sliding-mode control (RNFSMC) system. The proposed RNFSMC system is comprised of a fuzzy controller and a robust controller. The fuzzy controller is utilized to approximate an ideal controller by the developed tuning algorithms, and the robust controller is designed to achieve H-infinity tracking performance index. To investigate the effectiveness of the proposed RNFSMC system, it is applied to control a Chua's chaotic circuit system. Finally, simulation results demonstrate that the effect of the fuzzy approximation error on the tracking error can be attenuated efficiently by the proposed method without any knowledge of the controlled systems.
URI: http://hdl.handle.net/11536/18193
ISBN: 0-7803-8353-2
期刊: 2004 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, PROCEEDINGS
起始頁: 917
結束頁: 922
顯示於類別:會議論文