An Optimal Fuzzy Controller for Linear Motor Drive Based on Genetic Algorithm
This paper presents a method to optimize fuzzy PID controllers scaling factors by utilizing improved Genetic Algorithm (GA), the scaling factors can regulate the outputs of the controller in terms of the system outputs feedback,thereby to improve the inferential rules and membershipfunctions. Nowadays many fuzzy PID controllers are largely used in industrial automation, but its inferential rules are mainly determined by some technical experts or operators,so the rules take on much individual subjective experience,and it will not be suitable for the control systems under some circumstances, especially with great disturbance and more unexpected conditions. The simulated experiment demonstrates the proposed optimal controllers effectiveness and feasibility.
Fuzzy Control Genetic Algorithm PID Control Scaling Factor Linear Motor
HaiJun Wang YiMin Chen ShaoLiang Wei
School of Computer Engineering and Science, Shanghai University Shanghai, 200072, China
国际会议
杭州
英文
688-692
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）