{"title":"Robust Deadbeat Predictive Current Control for PMSM Drives Based on Single FPGA Implementaion","authors":"Zihao Chen, Chun Wu, Degang Zhong, Chen Qiang","doi":"10.1109/PRECEDE.2019.8753272","DOIUrl":null,"url":null,"abstract":"This paper proposes a robust deadbeat predictive current control (RPDCC) for permanent magnet synchronous motor (PMSM) drives. The parameter errors, model uncertainties and disturbances are treated as total disturbances and an adaptive observer is designed to estimate these total disturbances. The stability of this observer is analyzed by Lyapunov stability theory. Furthermore, this paper implements all control algorithms on single field programmable gate array (FPGA). Due to the parallel process and fast calculation ability of FPGA, the whole strategies can implemented during 1.31 us. The simulation and experimental results show the proposed RPDCC is robust against parameters variations, and can achieve fast dynamic performance and zero steady-state errors even with parameter errors.","PeriodicalId":227885,"journal":{"name":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRECEDE.2019.8753272","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper proposes a robust deadbeat predictive current control (RPDCC) for permanent magnet synchronous motor (PMSM) drives. The parameter errors, model uncertainties and disturbances are treated as total disturbances and an adaptive observer is designed to estimate these total disturbances. The stability of this observer is analyzed by Lyapunov stability theory. Furthermore, this paper implements all control algorithms on single field programmable gate array (FPGA). Due to the parallel process and fast calculation ability of FPGA, the whole strategies can implemented during 1.31 us. The simulation and experimental results show the proposed RPDCC is robust against parameters variations, and can achieve fast dynamic performance and zero steady-state errors even with parameter errors.