Rong Zhang, Guangzhao Luo, Wencong Tu, Zhe Chen, R. Kennel
{"title":"Grey control strategy of predictive current for PMSM","authors":"Rong Zhang, Guangzhao Luo, Wencong Tu, Zhe Chen, R. Kennel","doi":"10.1109/ICIEA.2016.7603992","DOIUrl":null,"url":null,"abstract":"In this paper, to further improve the performance of dynamic and anti-interference of the permanent magnet synchronous motor (PMSM) control system, the grey control strategy of predictive current for PMSM is proposed by analyzing the characteristics of the actual current response in control system and making full use of historical current data to adjust the current value quickly to follow the change of the given value. The off-line simulation is carried out in condition of rated load and sudden load. Compared with the classical vector control and traditional predictive current control, the proposed algorithm reaches the given speed rapidly and has the performance of good response and small overshoot. It also has the better dynamic and anti-interference performance. To further verify the effectiveness of the proposed control strategy, the real-time simulation of the proposed algorithm is carried out by dSPACE system.","PeriodicalId":283114,"journal":{"name":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA.2016.7603992","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, to further improve the performance of dynamic and anti-interference of the permanent magnet synchronous motor (PMSM) control system, the grey control strategy of predictive current for PMSM is proposed by analyzing the characteristics of the actual current response in control system and making full use of historical current data to adjust the current value quickly to follow the change of the given value. The off-line simulation is carried out in condition of rated load and sudden load. Compared with the classical vector control and traditional predictive current control, the proposed algorithm reaches the given speed rapidly and has the performance of good response and small overshoot. It also has the better dynamic and anti-interference performance. To further verify the effectiveness of the proposed control strategy, the real-time simulation of the proposed algorithm is carried out by dSPACE system.