文章基本信息

标题：RULES REDUCTION AND OPTIMIZATION OF FUZZY LOGIC MEMBERSHIP FUNCTIONS FOR INDUCTION MOTOR SPEED CONTROLLER
本地全文：下载
作者：ZULHISYAM SALLEH ; MARIZAN SULAIMAN ; FIZATUL AINI PATAKOR 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：19
页码：4922
出版社：Journal of Theoretical and Applied
摘要：Fuzzy logic controllers are widely used in induction motor drives systems for their robust performance. Several techniques have been promoted to lessen the computational burden and memory constraint for implementation of fuzzy logic controller in software and hardware. Rules reduction and optimization of fuzzy logic membership functions have been tested with full, medium and low speed under forward and reverse operation of induction motor using Matlab/Simulink. The simplified fuzzy rules and membership functions were analyzed on the design and simulation of the controller for vector control induction motor. The drives system was simulated with standard membership functions through 25 rules and simplified rules such 9 rules, 7 rules and proposed 5 rules for overview comparison. The simplified rules were simulated using optimization membership functions. The results of this investigation show that Optimized5 give exceptional performance for both forward and reverse operation at rated speed with no load condition. There were less than 1% overshoot ascend for Optimized5 while tested in medium and low speed environment. These investigations confirmed that Optimize5 firmly rejected load disturbances with same short period for different speed. As a result, the consideration of optimize membership functions is significant when apply rules reduction for robust speed controller.
关键词：Fuzzy Logic; Induction Motor; Membership Functions; Rules; Speed Controller; Optimization