Optimization of PID Controller for Automatic Voltage Regulator System

被引：0
作者：
Sonawane, Pravin R. [1 ]
Karvekar, Sushil S. [1 ]
机构：
[1] WCE, Elect Engn Dept, Sangli, India
来源：
2017 INTERNATIONAL CONFERENCE ON COMPUTING METHODOLOGIES AND COMMUNICATION (ICCMC) | 2017年
关键词：
Automatic voltage regulator; optimization technique; Taguchi Combined Genetic Algorithm; fuzzy controller; simulation and results; GENETIC ALGORITHMS; DESIGN OPTIMIZATION; OPTIMUM DESIGN; MOTOR; IMPROVEMENT;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper represents a design of method for determining optimal PID controller parameters of an AVR system using Taguchi Combined Genetic Algorithm (TCGA) is presented. Taguchi method is used for finding the approximate values of the PID controller, whereas Genetic Algorithm (GA) is used to find the accurate results. The main advantage of Taguchi method has lower number of design of experiments. Fuzzy controller is used to get the better response of Automatic Voltage Regulator (AVR) system. The dynamic response of Taguchi Combined Genetic Algorithm and fuzzy controller and effectiveness of Taguchi method is validated using MATLAB/Simulink. The result shows that TCGA method gives better performance than fuzzy controller.
引用
收藏
页码：318 / 323
页数：6
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