考虑响应速度的基于粒子群优化的无刷直流电机速度控制器

M. Ridwan, D. Riawan, H. Suryoatmojo
{"title":"考虑响应速度的基于粒子群优化的无刷直流电机速度控制器","authors":"M. Ridwan, D. Riawan, H. Suryoatmojo","doi":"10.1109/ISITIA.2017.8124079","DOIUrl":null,"url":null,"abstract":"In this paper, a Particle Swarm optimization (PSO) based controller is implemented to a BLDC motor. A PSO-based controller is designed for controlling BLDC motor speed with acceleration consideration. PSO is used to find the appropriate PI controller parameters, Kp and Ki according to the speed reference and response speed designed. The result shows that the PSO-based controller designed is able to control the speed of BLDC motor properly with the desired response speed.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Particle swarm optimization-based BLDC motor speed controller with response speed consideration\",\"authors\":\"M. Ridwan, D. Riawan, H. Suryoatmojo\",\"doi\":\"10.1109/ISITIA.2017.8124079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a Particle Swarm optimization (PSO) based controller is implemented to a BLDC motor. A PSO-based controller is designed for controlling BLDC motor speed with acceleration consideration. PSO is used to find the appropriate PI controller parameters, Kp and Ki according to the speed reference and response speed designed. The result shows that the PSO-based controller designed is able to control the speed of BLDC motor properly with the desired response speed.\",\"PeriodicalId\":308504,\"journal\":{\"name\":\"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISITIA.2017.8124079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISITIA.2017.8124079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

本文提出了一种基于粒子群算法的无刷直流电机控制器。针对无刷直流电动机的速度控制问题,设计了一种基于pso的控制器。根据设计的速度参考和响应速度,利用粒子群算法找到合适的PI控制器参数Kp和Ki。结果表明,所设计的基于pso的控制器能够以期望的响应速度控制无刷直流电机的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Particle swarm optimization-based BLDC motor speed controller with response speed consideration
In this paper, a Particle Swarm optimization (PSO) based controller is implemented to a BLDC motor. A PSO-based controller is designed for controlling BLDC motor speed with acceleration consideration. PSO is used to find the appropriate PI controller parameters, Kp and Ki according to the speed reference and response speed designed. The result shows that the PSO-based controller designed is able to control the speed of BLDC motor properly with the desired response speed.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信