{"title":"基于TMS320F2407的无刷直流电动机模糊控制系统研究","authors":"Xiao-ping Huang","doi":"10.1109/IHMSC.2013.98","DOIUrl":null,"url":null,"abstract":"Brush less DC motor, because of its simple structure, low noise, reliable performance, no commutation spark, high power density, and low maintenance cost, had been widely used in many industry fields, such as the household appliances electric vehicles, the medical and the computer, etc. This paper used the TMS320F2407 DSP produced by TI as the centrale controller, the adaptive Fuzzy PID as the control method, designed the brush less DC motor control system Based on the DSP. It included the selection of system power circuit, the design and implementation of the control circuit and the system software. The experimental results showed that control performance of adaptive fuzzy PI controller was better than traditional PI controller.","PeriodicalId":222375,"journal":{"name":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"125 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research of the Fuzzy Control System for Brushless DC Motor Based on TMS320F2407\",\"authors\":\"Xiao-ping Huang\",\"doi\":\"10.1109/IHMSC.2013.98\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brush less DC motor, because of its simple structure, low noise, reliable performance, no commutation spark, high power density, and low maintenance cost, had been widely used in many industry fields, such as the household appliances electric vehicles, the medical and the computer, etc. This paper used the TMS320F2407 DSP produced by TI as the centrale controller, the adaptive Fuzzy PID as the control method, designed the brush less DC motor control system Based on the DSP. It included the selection of system power circuit, the design and implementation of the control circuit and the system software. The experimental results showed that control performance of adaptive fuzzy PI controller was better than traditional PI controller.\",\"PeriodicalId\":222375,\"journal\":{\"name\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"125 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2013.98\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2013.98","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research of the Fuzzy Control System for Brushless DC Motor Based on TMS320F2407
Brush less DC motor, because of its simple structure, low noise, reliable performance, no commutation spark, high power density, and low maintenance cost, had been widely used in many industry fields, such as the household appliances electric vehicles, the medical and the computer, etc. This paper used the TMS320F2407 DSP produced by TI as the centrale controller, the adaptive Fuzzy PID as the control method, designed the brush less DC motor control system Based on the DSP. It included the selection of system power circuit, the design and implementation of the control circuit and the system software. The experimental results showed that control performance of adaptive fuzzy PI controller was better than traditional PI controller.