Particle Swarm Optimization of BLDC Motor With Fuzzy Logic Controller for Speed Improvement

被引：0

作者：

Agrawal, Surabhi ^{[1
]}

Shrivastava, Vivek ^{[1
]}

机构：

[1] Rajasthan Tech Univ Kota, Dept Elect Engn, Kota, Rajasthan, India

来源：

2017 8TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) | 2017年

关键词：

Fuzzy Logic Controller; Particle Swarm Optimization; PI Controller; MATLAB; Circuit Simulation; BLDC Motor; POWER;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper elaborates the enhancement in speed of electric vehicle Brushless DC motor with reduction in gain of PI Controller by using Particle swarm optimization (PSO) technique along with fuzzy controller. PSO technique is used to tune the parameters of PI Controller. A fuzzy logic controller is designed to control the output of electric vehicle motor. The system is modelled and simulated using MATLAB/Simulink. The output of FLC (Fuzzy Logic Controller) controlled electric vehicle motor with PI controller is compared with the output of PSO Optimizes electric vehicle motor with fuzzy controller. The system without fuzzy logic controller is also simulated using MATLAB/Simulink. Without FLC, speed of motor is negative and error is very high. But, by using FLC and PSO optimized PI Controller, Speed of motor is improved and error is reduced to very less value as compared to previous one.

引用

页数：5

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