基于参数辨识的内置式永磁同步电机最大转矩电流比电流预测控制

周新秀; 周咏平; 张旨; 王博阳; 朱敏

doi:10.3788/OPE.20202805.1083

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基于参数辨识的内置式永磁同步电机最大转矩电流比电流预测控制

微纳技术与精密机械 | 更新时间：2020-07-09

- 基于参数辨识的内置式永磁同步电机最大转矩电流比电流预测控制
- Maximum torque per ampere current predictive control of interior permanent magnet synchronous motors based on parameter identification
- 光学精密工程 2020年28卷第5期页码：1083-1093
- 作者机构：
  
  1.北京航空航天大学前沿科学技术创新研究院，北京 100191
  2.北京航空航天大学宁波创新研究院，浙江宁波 315000
  3.上海卫星工程研究所，上海 200240
- 作者简介：
  
  [ "周新秀 (1982—)，女，河北涿州人，博士，讲师，2013年于北京航空航天大学获得博士学位，主要从事电机控制、电力电子和航天器姿态控制方面的研究。E-mail: 580927@163.com" ]
  [ "周咏平 (1995—)，女，江苏泰州人，硕士研究生，2017年于南京理工大学获得学士学位，主要从事永磁同步电机的控制算法研究。E-mail: zypsy1717216@buaa.edu.cn" ]
- 基金信息：
  
  国家自然基金资助项目(61873020)
- DOI：10.3788/OPE.20202805.1083
  中图分类号： TM351
- 收稿日期：2019-10-30，
  
  修回日期：2019-12-12，
  
  录用日期：2019-12-12，
  
  纸质出版日期：2020-05-15
- 稿件说明：
移动端阅览
周新秀, 周咏平, 张旨, 等. 基于参数辨识的内置式永磁同步电机最大转矩电流比电流预测控制[J]. 光学精密工程, 2020,28(5):1083-1093.

Xin-xiu ZHOU, Yong-ping ZHOU, Zhi ZHANG, et al. Maximum torque per ampere current predictive control of interior permanent magnet synchronous motors based on parameter identification[J]. Optics and precision engineering, 2020, 28(5): 1083-1093.
周新秀, 周咏平, 张旨, 等. 基于参数辨识的内置式永磁同步电机最大转矩电流比电流预测控制[J]. 光学精密工程, 2020,28(5):1083-1093. DOI： 10.3788/OPE.20202805.1083.

Xin-xiu ZHOU, Yong-ping ZHOU, Zhi ZHANG, et al. Maximum torque per ampere current predictive control of interior permanent magnet synchronous motors based on parameter identification[J]. Optics and precision engineering, 2020, 28(5): 1083-1093. DOI： 10.3788/OPE.20202805.1083.

摘要

为了实现对内置式永磁同步电机的高效准确控制，解决电机运行过程中参数变化对控制性能的影响，提出了一种基于在线参数辨识的内置式永磁同步电机最大转矩电流比电流预测控制方法。根据内置式永磁同步电机的转矩特性对最大转矩电流比的

d-q

电流最优关系进行化简以便于工程计算；并针对电机参数变化对最大转矩电流比工作点偏移的影响进行了分析。同时，对MTPA算法影响较大的关键参数

轴定子电感

转子永磁体磁链进行基于参考模型的自适应辨识，以确保实时的最优

，

轴电流分配。在得到准确辨识的参数和最优电流指令的基础上进行电流的鲁棒预测控制，使实际电流更快地跟踪指令，提高系统的动态性能。实验结果表明：

轴定子电感

转子永磁体磁链在线辨识的误差分别小于3%，3.5%，收敛时间小于20 ms；电机能有效跟踪最大转矩电流比工作点，电流响应时间小于30 ms，能够满足内置式永磁同步电机系统稳定可靠、高效快速等运行要求。

Abstract

To realize an efficient and accurate control of Interior Permanent Magnet Synchronous Motors (IPMSMs) and solve the effects of the motor parameter changes on the control performance

a method for the Maximum Torque Per Ampere (MTPA) current predictive control of the IPMSM based on online parameter identification was proposed. First

according to the torque characteristic of the IPMSM

an optimal relationship of

- and

-axis currents under the MTPA control was simplified to facilitate engineering calculation. The effects of the motor parameters on the MTPA operating point offset were analyzed. In addition

key parameters

-axis inductance and permanent magnet linkage of rotator

which significantly affect the MTPA algorithm

were adaptively identified based on a reference model to calculate the optimal

d-q

current distribution in real time. Subsequently

based on the accurately identified parameters and optimal current commands

predictive current control was applied such that the actual current can track the command faster and improve the dynamic performance of the system. The experimental results show that the errors of the online identification of

-axis inductance and permanent magnet linkage of rotator are less than 3% and 3.5%

respectively

and the convergence time is less than 20 ms. The motor can effectively track the MTPA operating point

and the current response time is less than 30 ms

which satisfies the requirements of stable

reliable

efficient

and fast operation of IPMSM systems.

关键词

Keywords

references

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