Jialun Cui, Zheng Chen, Jiangwei Shen, Shiquan Shen, Yonggang Liu
{"title":"基于滑模扰动观测器的永磁同步轮毂电机鲁棒级联非线性广义预测控制","authors":"Jialun Cui, Zheng Chen, Jiangwei Shen, Shiquan Shen, Yonggang Liu","doi":"10.1109/CVCI51460.2020.9338489","DOIUrl":null,"url":null,"abstract":"In this study, a nonlinear generalized predictive controller (NGPC) in a cascaded structure, combining with sliding mode disturbance observer (SDMO), is proposed to control the permanent magnet synchronous hub motor (PMSHM) with uncertainties and disturbances. The NGPC is designed on the basis of the Taylor series expansion to approximate the predictive response in finite time domain. Since NGPC cannot thoroughly remove the deviation in the load torque variation and parametric uncertainties, an improved SMDO is exploited to estimate and compensate the deviation of controller. The developed controller can fulfill the performance of strong robustness and fast dynamic response with easy regulation characteristics. The simulation results manifest the effectiveness of the designed control strategy applied to the PMSHM drive.","PeriodicalId":119721,"journal":{"name":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust Cascaded Nonlinear Generalized Predictive Control with Sliding Mode Disturbance Observer for Permanent Magnet Synchronous Hub Motor\",\"authors\":\"Jialun Cui, Zheng Chen, Jiangwei Shen, Shiquan Shen, Yonggang Liu\",\"doi\":\"10.1109/CVCI51460.2020.9338489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, a nonlinear generalized predictive controller (NGPC) in a cascaded structure, combining with sliding mode disturbance observer (SDMO), is proposed to control the permanent magnet synchronous hub motor (PMSHM) with uncertainties and disturbances. The NGPC is designed on the basis of the Taylor series expansion to approximate the predictive response in finite time domain. Since NGPC cannot thoroughly remove the deviation in the load torque variation and parametric uncertainties, an improved SMDO is exploited to estimate and compensate the deviation of controller. The developed controller can fulfill the performance of strong robustness and fast dynamic response with easy regulation characteristics. The simulation results manifest the effectiveness of the designed control strategy applied to the PMSHM drive.\",\"PeriodicalId\":119721,\"journal\":{\"name\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CVCI51460.2020.9338489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CVCI51460.2020.9338489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust Cascaded Nonlinear Generalized Predictive Control with Sliding Mode Disturbance Observer for Permanent Magnet Synchronous Hub Motor
In this study, a nonlinear generalized predictive controller (NGPC) in a cascaded structure, combining with sliding mode disturbance observer (SDMO), is proposed to control the permanent magnet synchronous hub motor (PMSHM) with uncertainties and disturbances. The NGPC is designed on the basis of the Taylor series expansion to approximate the predictive response in finite time domain. Since NGPC cannot thoroughly remove the deviation in the load torque variation and parametric uncertainties, an improved SMDO is exploited to estimate and compensate the deviation of controller. The developed controller can fulfill the performance of strong robustness and fast dynamic response with easy regulation characteristics. The simulation results manifest the effectiveness of the designed control strategy applied to the PMSHM drive.