PID controller adapted by a fuzzy inference system optimized by genetic algorithm for induction machine control

被引：0

作者：

Hazzab, A ^{[1
]}

Bousserhane, IK ^{[1
]}

Kamli, M ^{[1
]}

Rahli, M ^{[1
]}

机构：

[1] Univ Ctr Bechar, Bechar 08000, Algeria

来源：

Proceedings of the 7th WSEAS International Conference on Automatic Control, Modeling and Simulation | 2005年

关键词：

fuzzy logic; genetic algorithm; PID controller; adaptation; optimization; vector control;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper we present the control of an induction machine alimented by a PWM three-phase inverter using a controller with PID structure adapted by a fuzzy inference system (adaptive FLC-PI). However the major disadvantage of the fuzzy logic control is the lack of design techniques, for this purpose we propose an optimization technique of the fuzzy-adapter parameters (adaptive FLC-PI-GA). This technique have presented a good performances compared to the controller which have parameters chosen by the human operator (adaptive FLC-PI).

引用

页码：301 / 308

页数：8