A Combined Model Predictive Current Control for SPMSM Drive with Improved Robustness and Control Precision

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE) Pub Date : 2021-06-20 DOI:10.1109/isie45552.2021.9576240

Wan Li, P. Song, Yan Yan, Xiaoyan Huang, Min Wu

{"title":"A Combined Model Predictive Current Control for SPMSM Drive with Improved Robustness and Control Precision","authors":"Wan Li, P. Song, Yan Yan, Xiaoyan Huang, Min Wu","doi":"10.1109/isie45552.2021.9576240","DOIUrl":null,"url":null,"abstract":"In order to enhance robustness against parameter mismatch and improve the steady-state performance, an improved finite control set-model predictive control (FCS-MPC) method for surface-mounted permanent magnet synchronous motor (SPMSM) is proposed in this paper. First, the incremental prediction model is used to eliminate the influence of permanent magnet flux linkage, and discrete space modulation technique is applied to improve the steady-state error and decrease the current fluctuation. Then, the prediction error caused by parameter mismatch is derived and a novel feed-forward compensation method is proposed. In order to improve the accuracy of compensation term and mitigate the negative influence caused by current sampling noise, the compensation coefficient is filtered. Simulation results confirm that good transient and steady-state performance can be guaranteed using the proposed method even when motor parameters deviate sharply from their nominal values. In addition, the method proposed is also robust to disturbance existing in current sampling and DC bus voltage.","PeriodicalId":365956,"journal":{"name":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/isie45552.2021.9576240","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

In order to enhance robustness against parameter mismatch and improve the steady-state performance, an improved finite control set-model predictive control (FCS-MPC) method for surface-mounted permanent magnet synchronous motor (SPMSM) is proposed in this paper. First, the incremental prediction model is used to eliminate the influence of permanent magnet flux linkage, and discrete space modulation technique is applied to improve the steady-state error and decrease the current fluctuation. Then, the prediction error caused by parameter mismatch is derived and a novel feed-forward compensation method is proposed. In order to improve the accuracy of compensation term and mitigate the negative influence caused by current sampling noise, the compensation coefficient is filtered. Simulation results confirm that good transient and steady-state performance can be guaranteed using the proposed method even when motor parameters deviate sharply from their nominal values. In addition, the method proposed is also robust to disturbance existing in current sampling and DC bus voltage.

查看原文本刊更多论文

一种提高了控制精度和鲁棒性的SPMSM驱动组合模型预测电流控制

为了增强表面贴装永磁同步电动机(SPMSM)对参数失配的鲁棒性，提高其稳态性能，提出了一种改进的有限控制集模型预测控制(FCS-MPC)方法。首先，采用增量预测模型消除永磁链的影响，采用离散空间调制技术改善稳态误差，减小电流波动;然后，推导了参数失配引起的预测误差，提出了一种新的前馈补偿方法。为了提高补偿项的精度，减轻电流采样噪声对补偿系数的负面影响，对补偿项进行了滤波。仿真结果表明，在电机参数偏离标称值较大的情况下，该方法仍能保证良好的暂态和稳态性能。此外，该方法对电流采样和直流母线电压中存在的干扰具有较强的鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)

自引率

0.00%

发文量