{"title":"永磁同步电动机模糊反步控制器的设计","authors":"Ming Yang, Xingcheng Wang","doi":"10.1109/ICCIS.2010.5518557","DOIUrl":null,"url":null,"abstract":"A fuzzy backstepping controller design for permanent magnet synchronous motor (PMSM) is presented in this paper. In order to gain good dynamics and robustness, the parameters of nonlinear controller based on backstepping technique is adjusted by fuzzy logic control, and the fuzzy logic control is optimized by adaptive weighted particle swarm optimization (PSO). The adaptive weighted PSO is efficient for multi-objective and multi-dimensional problem. The proposed optimal controller is verified by simulation, and the results show that the controller has robust and good dynamic response.","PeriodicalId":445473,"journal":{"name":"2010 IEEE Conference on Cybernetics and Intelligent Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Design for fuzzy backstepping controller of permanent magnet synchronous motor\",\"authors\":\"Ming Yang, Xingcheng Wang\",\"doi\":\"10.1109/ICCIS.2010.5518557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy backstepping controller design for permanent magnet synchronous motor (PMSM) is presented in this paper. In order to gain good dynamics and robustness, the parameters of nonlinear controller based on backstepping technique is adjusted by fuzzy logic control, and the fuzzy logic control is optimized by adaptive weighted particle swarm optimization (PSO). The adaptive weighted PSO is efficient for multi-objective and multi-dimensional problem. The proposed optimal controller is verified by simulation, and the results show that the controller has robust and good dynamic response.\",\"PeriodicalId\":445473,\"journal\":{\"name\":\"2010 IEEE Conference on Cybernetics and Intelligent Systems\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Conference on Cybernetics and Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIS.2010.5518557\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Conference on Cybernetics and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIS.2010.5518557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design for fuzzy backstepping controller of permanent magnet synchronous motor
A fuzzy backstepping controller design for permanent magnet synchronous motor (PMSM) is presented in this paper. In order to gain good dynamics and robustness, the parameters of nonlinear controller based on backstepping technique is adjusted by fuzzy logic control, and the fuzzy logic control is optimized by adaptive weighted particle swarm optimization (PSO). The adaptive weighted PSO is efficient for multi-objective and multi-dimensional problem. The proposed optimal controller is verified by simulation, and the results show that the controller has robust and good dynamic response.