Hui Deng, G. Cao, Su-Dan Huang, Lai-Juan Shi, Zhipeng He
{"title":"基于改进滑模观测器和模糊PI速度控制器的永磁同步电机无传感器矢量控制策略","authors":"Hui Deng, G. Cao, Su-Dan Huang, Lai-Juan Shi, Zhipeng He","doi":"10.1109/PESA.2015.7398907","DOIUrl":null,"url":null,"abstract":"To reduce the cost and obtain accurate rotor position of the permanent magnet synchronous motor (PMSM), a sensorless vector strategy for the PMSM using an improved sliding mode observer (SMO) and a fuzzy PI speed controller is proposed. The mathematical model of the PMSM is firstly presented. Then, a sigmoid function is applied to the improved SMO for overcoming chattering, and the observer of back electromotive force instead of the low-pass filter is introduced to the SMO. The stability of the improved SMO is further proved with the Lyapunov function. Additionally, the fuzzy PI speed controller is designed. The simulation is performed based on MATLAB, and the experiment is carried out under the developed test rig based on DSP TMS320F2808. The effectiveness of the proposed strategy is finally verified.","PeriodicalId":198357,"journal":{"name":"2015 6th International Conference on Power Electronics Systems and Applications (PESA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A sensorless vector strategy for the PMSM using improved sliding mode observer and fuzzy PI speed controller\",\"authors\":\"Hui Deng, G. Cao, Su-Dan Huang, Lai-Juan Shi, Zhipeng He\",\"doi\":\"10.1109/PESA.2015.7398907\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To reduce the cost and obtain accurate rotor position of the permanent magnet synchronous motor (PMSM), a sensorless vector strategy for the PMSM using an improved sliding mode observer (SMO) and a fuzzy PI speed controller is proposed. The mathematical model of the PMSM is firstly presented. Then, a sigmoid function is applied to the improved SMO for overcoming chattering, and the observer of back electromotive force instead of the low-pass filter is introduced to the SMO. The stability of the improved SMO is further proved with the Lyapunov function. Additionally, the fuzzy PI speed controller is designed. The simulation is performed based on MATLAB, and the experiment is carried out under the developed test rig based on DSP TMS320F2808. The effectiveness of the proposed strategy is finally verified.\",\"PeriodicalId\":198357,\"journal\":{\"name\":\"2015 6th International Conference on Power Electronics Systems and Applications (PESA)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th International Conference on Power Electronics Systems and Applications (PESA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESA.2015.7398907\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th International Conference on Power Electronics Systems and Applications (PESA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESA.2015.7398907","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A sensorless vector strategy for the PMSM using improved sliding mode observer and fuzzy PI speed controller
To reduce the cost and obtain accurate rotor position of the permanent magnet synchronous motor (PMSM), a sensorless vector strategy for the PMSM using an improved sliding mode observer (SMO) and a fuzzy PI speed controller is proposed. The mathematical model of the PMSM is firstly presented. Then, a sigmoid function is applied to the improved SMO for overcoming chattering, and the observer of back electromotive force instead of the low-pass filter is introduced to the SMO. The stability of the improved SMO is further proved with the Lyapunov function. Additionally, the fuzzy PI speed controller is designed. The simulation is performed based on MATLAB, and the experiment is carried out under the developed test rig based on DSP TMS320F2808. The effectiveness of the proposed strategy is finally verified.