PID Speed Controller Optimization Using Online Genetic Algorithm for Induction Motor Drive

被引：1

作者：

Thinh Cong Tran ^{[1
]}

Brandstetter, Pavel ^{[2
]}

Vo Hoang Duy ^{[1
]}

Hau Huu Vo ^{[1
]}

Chau Dong ^{[1
]}

机构：

[1] Ton Duc Thang Univ, Fac Elect & Elect Engn, Ho Chi Minh City, Vietnam

[2] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, 17 Listopadu 15-2172, Ostrava 70833, Czech Republic

来源：

AETA 2016: RECENT ADVANCES IN ELECTRICAL ENGINEERING AND RELATED SCIENCES: THEORY AND APPLICATION | 2017年 / 415卷

关键词：

AC drive; Induction motor; Vector control; PID speed controller; Genetic algorithm; Optimization;

D O I：

10.1007/978-3-319-50904-4_60

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper deals with an application of the genetic algorithm for parameter settings of a speed controller in the control structure of the A.C. drive with the vector controlled induction motor. An induction motor model with the PID speed controller is described in the first section. The second section presents the design of the genetic algorithm for the online tuned PID speed controller. Important simulations with the traditional PID speed controller and the online tuned PID speed controller using the genetic algorithm together with change of parameters and variable disturbances were performed in the Matlab-Simulink environment. The simulation results show that the online tuned PID speed controller using the genetic algorithm produces a much better response of the induction motor speed.

引用

页码：564 / 576

页数：13

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