{"title":"同步磁阻电机预测电流控制结构的比较研究","authors":"M. Costin, C. Lazar","doi":"10.1109/ICSTCC55426.2022.9931778","DOIUrl":null,"url":null,"abstract":"The synchronous reluctance motor (SynRM), due to its advantages, has been used recently in many applications. In this paper, we propose a comparison of two current control structures for a SynRM based on constrained predictive control algorithms to analyze the performance of each algorithm. The first structure starts from the V -canonical model of the $dq$ current system, and then, using a decoupling controller, two single-input single-output (SISO) decoupled systems result, each being controlled with a SISO constrained predictive control algorithm. The second one uses a multi-input multi-output (MIMO) state-space model of the $dq$ current system for which a constrained MIMO predictive control algorithm is designed. For a better evaluation of the proposed predictive controllers with constraints of the two current control structures, a comparative investigation of these predictive control techniques was performed using the Matlab-Simulink environment. For the performance testing, two scenarios were considered that included both input and output constraints and a set of performance indices.","PeriodicalId":220845,"journal":{"name":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative Study of Predictive Current Control Structures for a Synchronous Reluctance Machine\",\"authors\":\"M. Costin, C. Lazar\",\"doi\":\"10.1109/ICSTCC55426.2022.9931778\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The synchronous reluctance motor (SynRM), due to its advantages, has been used recently in many applications. In this paper, we propose a comparison of two current control structures for a SynRM based on constrained predictive control algorithms to analyze the performance of each algorithm. The first structure starts from the V -canonical model of the $dq$ current system, and then, using a decoupling controller, two single-input single-output (SISO) decoupled systems result, each being controlled with a SISO constrained predictive control algorithm. The second one uses a multi-input multi-output (MIMO) state-space model of the $dq$ current system for which a constrained MIMO predictive control algorithm is designed. For a better evaluation of the proposed predictive controllers with constraints of the two current control structures, a comparative investigation of these predictive control techniques was performed using the Matlab-Simulink environment. For the performance testing, two scenarios were considered that included both input and output constraints and a set of performance indices.\",\"PeriodicalId\":220845,\"journal\":{\"name\":\"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)\",\"volume\":\"127 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSTCC55426.2022.9931778\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 26th International Conference on System Theory, Control and Computing (ICSTCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC55426.2022.9931778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparative Study of Predictive Current Control Structures for a Synchronous Reluctance Machine
The synchronous reluctance motor (SynRM), due to its advantages, has been used recently in many applications. In this paper, we propose a comparison of two current control structures for a SynRM based on constrained predictive control algorithms to analyze the performance of each algorithm. The first structure starts from the V -canonical model of the $dq$ current system, and then, using a decoupling controller, two single-input single-output (SISO) decoupled systems result, each being controlled with a SISO constrained predictive control algorithm. The second one uses a multi-input multi-output (MIMO) state-space model of the $dq$ current system for which a constrained MIMO predictive control algorithm is designed. For a better evaluation of the proposed predictive controllers with constraints of the two current control structures, a comparative investigation of these predictive control techniques was performed using the Matlab-Simulink environment. For the performance testing, two scenarios were considered that included both input and output constraints and a set of performance indices.