An Adaptive Fuzzy Cerebellar Model Articulation Controller via Particle Swarm Optimization
In the paper, a Fuzzy Cerebellar Model Arithmetic Controller (FCMAC) is proposed to solve the tracking problems of a class of nonlinear systems. First, the proposed FCMAC via parameters adaptation such that it is able to approximate an ideal controller, and then a robust controller is appended to assure the system stability in the present of approximated error. Third, the redesign of the proposed FCMAC promotes the performances of the closed-loop system. Moreover, to further optimize the redesigned FCMAC, the Particle Swarm Optimization (PSO) is utilized to optimize the parameters of the proposed FCMAC under the requirements of system stability and the defined performance index. From the computer simulation results we can find that the performances of the system are promoted under the proposed control scheme.
Fuzzy Control CM AC Particle Swarm Optimization System stability
Chang-Wei Fan Jen-Yang Chen Yi-Min Zhou
School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Techno Department of Electronic Engineering, Ming Chuan University, Taoyuan, Taiwan
国际会议
上海
英文
385-390
2010-06-22（万方平台首次上网日期，不代表论文的发表时间）