首页> 外文会议>Advances in Engineering, Science and Management (ICAESM), 2012 International Conference on >Speed control of three phase Switched Reluctance Motor using Particle Swarm Optimization
【24h】

Speed control of three phase Switched Reluctance Motor using Particle Swarm Optimization

机译:基于粒子群算法的三相开关磁阻电机调速

获取原文

摘要

The work presented in this paper performs a comparison between three types of controllers, namely fuzzy logic controller, fuzzy PI controller and Particle Swarm Optimization (PSO) based tuning of Fuzzy PI controller to control the speed of three phase Switched Reluctance Motor. The main objective is to obtain better performance of the system in stability, without overshoot and minimum settling time in system response under the sudden change in speed of the motor. The performance comparison of all the controllers is done based on their applicability, adoptability, simplicity and controllability. The system is simulated using Matlab/ Simulink GUI environment and the results are discussed. From the discussion of result, it is found that Particle Swarm Optimization based fuzzy PI controllers perform well in providing better settling time and better control of the speed of Switched Reluctance Motor.
机译:本文所做的工作在三种类型的控制器之间进行了比较,即模糊逻辑控制器,模糊PI控制器和基于粒子群优化(PSO)的模糊PI控制器调整,以控制三相开关磁阻电动机的速度。主要目的是在电机速度突然变化的情况下,在不出现过冲和系统响应的稳定时间最小的情况下,在稳定性方面获得更好的系统性能。所有控制器的性能比较都是基于其适用性,可采用性,简单性和可控性进行的。使用Matlab / Simulink GUI环境对该系统进行了仿真,并讨论了结果。从结果的讨论中发现,基于粒子群优化的模糊PI控制器在提供更好的建立时间和更好地控制开关磁阻电动机的速度方面表现良好。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号