一种带延时补偿的永磁同步电机自适应预测电流控制方法

何栋炜; 张逸涛; 蒋学程; 王永杰; 蔡思静; 刘丽桑; 陈健

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一种带延时补偿的永磁同步电机自适应预测电流控制方法

更新时间：2026-06-03

- 一种带延时补偿的永磁同步电机自适应预测电流控制方法
- An Adaptive Predictive Current Control Method for Permanent Magnet Synchronous Motor with Delay Compensation
- 西安交通大学学报 2026年
- 作者机构：
  
  1.福建理工大学电子电气与物理学院，350118，福州
  2.福建理工大学福建省工业集成自动化行业技术开发基地，350118，福州
  3.闽江学院物理与电子信息工程学院，350108，福州
- 作者简介：
- 基金信息：
- DOI：
  中图分类号： TM351
- 收稿：2025-12-17，
  
  修回：2026-05-28，
  
  录用：2026-06-03，
- 稿件说明：
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何栋炜, 张逸涛, 蒋学程, 等. 一种带延时补偿的永磁同步电机自适应预测电流控制方法[J/OL]. 西安交通大学学报, 2026.

HE Dongwei, ZHANG Yitao, JIANG Xuecheng, et al. An Adaptive Predictive Current Control Method for Permanent Magnet Synchronous Motor with Delay Compensation[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2026.
何栋炜, 张逸涛, 蒋学程, 等. 一种带延时补偿的永磁同步电机自适应预测电流控制方法[J/OL]. 西安交通大学学报, 2026. DOI：

HE Dongwei, ZHANG Yitao, JIANG Xuecheng, et al. An Adaptive Predictive Current Control Method for Permanent Magnet Synchronous Motor with Delay Compensation[J/OL]. JOURNAL OF XI’AN JIAOTONG UNIVERSITY, 2026. DOI：

摘要

针对数字控制下永磁同步电机系统存在的延时与严重参数失配影响电流环性能的问题，本文基于传统无差拍的预测电流控制框架，通过引入带遗忘因子的最小二乘算法，以及改进的模型自适应补偿结构，设计了一种新型自适应预测电流控制方法，有效消除了系统延时及严重参数失配对电流控制的耦合影响。研究结果表明：在各种参数失配工况下，所提方法均表现出更快的动态响应能力和更高的稳态精度。以

轴为例，所提方法的电流动态调节时间均值仅为12.0 ms，电流跟踪最大均方根误差低

至15.4 mA；与传统比例积分控制相比，电流动态调节时间显著缩短了约12.4 ms，电流跟踪最大均方根误差大幅降低了58.6%。此外，该方法的系统运行时间约为19.93~21.20 μs，所需运算量完全在现有数字信号处理器算力的允许范围内，可以充分保证计算的实时性。该研究有效地解决了延时与严重参数失配的影响，显著地提高了电流环的跟踪性能，为进一步实现高性能永磁同步电机驱动控制提供了一种切实有效的解决方案。

Abstract

To mitigate time delay and parameter mismatch in digital PMSM drives

this paper proposes an adaptive deadbeat predictive current controller incorporating forgetting factor recursive least squares algorithm. An improved structure effectively compensates for system delays and parameter mismatch. The research results show that the proposed method exhibits faster dynamic response and higher steady-state accuracy under various parameter mismatch conditions. Taking the

-axis as an example

the proposed method achieves an average current dynamic adjustment time of 12.0 ms and a maximum root mean square error of 15.4 mA for current tracking. Compared with traditional proportional-integral control

the current dynamic adjustment time is reduced by approximately 12.4 ms

and the maximum root mean square error of tracking is reduced by 58.6%. Besides

the system operation time of this method is about 19.93~21.20 μs

the algorithm's computational load stays within the operational scope of DSP

ensuring real-time feasibility. Therefore

the proposed approach resolves delay and mismatch issues effectively

significantly enhancing current tracking performance for high-performance PMSM drive systems.

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Keywords

references

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