计及参数误差的永磁同步电机最优虚拟矢量预测电流控制

doi:10.19595/j.cnki.1000-6753.tces.181129

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摘要

受电压矢量数目限制,引入占空比优化的有限集预测控制存在较大电流脉动,且电流预测精度对电机参数依赖性较高。运行中电机参数受磁饱和等因素的影响实时变化,电流控制精度降低。为此,提出一种基于最优虚拟矢量的改进预测电流控制策略。通过基本电压矢量合成虚拟矢量,拓展电压指令范围至六边形区域。采用无差拍控制原理计算最优虚拟矢量所处扇区,确定所需基本矢量,减少电流预测计算次数。在此基础上,设计带有预测误差反馈校正的评价函数,计算各基本矢量作用时间,构建最优虚拟矢量提升电流控制精度。所提出的改进预测电流控制策略显著降低了计算时间和电流脉动,并且具有较强的参数鲁棒性。基于两电平逆变器永磁同步电机驱动系统进行仿真和实验,结果验证了策略的有效性。

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	康劲松
	李旭东
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关键词 ：永磁同步电机, 最优虚拟矢量, 参数鲁棒性, 预测电流控制, 快速扇区选择

Abstract：

Limited by the number of voltage vectors, there are large current ripples in the finite control set predictive control with vector duration optimization, and the accuracy of current prediction is highly dependent on precise motor parameters. However, these motor parameters may not match with their actual values because of magnetic saturation, and parameter errors during operation reduce current control accuracy. Therefore, an improved predictive current control strategy based on the optimal virtual voltage vector is proposed to improve current control performance. Voltage control set is extended to the hexagonal region by virtual voltage vectors, which are composed of basic voltage vectors. To reduce prediction calculations, the sector of the optimal virtual vector is determined by the deadbeat control principle and the basic voltage vectors of the sector are selected for calculating the virtual voltage vector. Then, a current cost function with feedback correction of prediction errors is designed. The durations of basic vectors are calculated based on the cost function, and the optimal virtual vector is established to improve current control accuracy. The proposed method significantly reduces current ripples and calculations, and also improves parameter robustness. Simulations and experiments were carried out on a permanent magnet synchronous motor drive system with a two-level inverter. The results verify the effectiveness of the proposed method.

Key words： Permanent magnet synchronous motors optimal virtual vector parameter robustness predictive current control fast sector selection

收稿日期: 2018-06-29 出版日期: 2018-12-29

PACS:

TM921

基金资助:

基金项目国家重点研发计划（2016YFB0100700）和中央高校基本科研业务费专项资金（1700219142）资助项目

通讯作者: 李旭东男,1994年生,研究生,研究方向为车用永磁同步电机及控制策略研究。E-mail: 1631477@tongji.edu.cn

作者简介: 康劲松男,1972年生,教授,博士生导师,研究方向为电动汽车用电力电子技术与电机控制技术、新能源变换与控制技术。E-mail: kjs@tongji.edu.cn

引用本文:

康劲松, 李旭东, 王硕. 计及参数误差的永磁同步电机最优虚拟矢量预测电流控制[J]. 电工技术学报, 2018, 33(24): 5731-5740. Kang Jinsong, Li Xudong, Wang Shuo. Optimal Virtual Vector Predictive Current Control for Permanent Magnet Synchronous Motor Considering Parameter Errors. Transactions of China Electrotechnical Society, 2018, 33(24): 5731-5740.

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