標題: Optimal fuzzy control of radial active magnetic bearing systems
作者: Yu, SS
Wu, SJ
Lee, TT
電控工程研究所
Institute of Electrical and Control Engineering
公開日期: 2003
摘要: In this paper, a neural-fuzzy approach to develop the optimal fuzzy control of a highly nonlinear radial current-controlled active magnetic bearing (AMB) systems is proposed. A linear self-constructing neural fuzzy inference network is proposed to neural-fuzzy modeling the radial current-controlled AMB system first. Then, the corresponding optimal fuzzy control design scheme is obtained to stabilize the AMB system with minimize current consumption. Simulation results show that the proposed optimal fuzzy controller can operate in widely range of shaft position.
URI: http://hdl.handle.net/11536/18690
ISBN: 0-7803-7866-0
期刊: 2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS
起始頁: 1393
結束頁: 1398
顯示於類別:會議論文