Yutong Dong, Cong Li, Lei Liu, Hongjie Yang, Te Chen, Guixing Cao
{"title":"A fuzzy PI controller for piezoelectric fast mirror based on particle swarm optimization","authors":"Yutong Dong, Cong Li, Lei Liu, Hongjie Yang, Te Chen, Guixing Cao","doi":"10.1109/ICIEA51954.2021.9516110","DOIUrl":null,"url":null,"abstract":"In this paper, the hysteresis model and electric-mechanical dynamic model in series are presented to model the complex dynamic behavior of piezoelectric fast steering mirror. To realize its precise control, a compound controller is designed by combining the feedforward control based on Bouc-Wen inverse model and fuzzy PI control. Then, the parameters of fuzzy PI are adjusted by particle swarm optimization algorithm. Finally, the simulation and experimental results verify the effectiveness of the proposed control method compared with the conventional PI control.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"64 1","pages":"1751-1756"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA51954.2021.9516110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, the hysteresis model and electric-mechanical dynamic model in series are presented to model the complex dynamic behavior of piezoelectric fast steering mirror. To realize its precise control, a compound controller is designed by combining the feedforward control based on Bouc-Wen inverse model and fuzzy PI control. Then, the parameters of fuzzy PI are adjusted by particle swarm optimization algorithm. Finally, the simulation and experimental results verify the effectiveness of the proposed control method compared with the conventional PI control.