Model-Free Sliding Mode Control Method for PMSM Based on a Second-Order Super-Twisting Observer

肖强晖; 魏子诠; 李建英; 张伟; 钟丁爱; 张迈; 程谆

doi:10.3969/j.issn.1008-0198.2025.05.008

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Model-Free Sliding Mode Control Method for PMSM Based on a Second-Order Super-Twisting Observer

更新时间：2026-01-10

- Model-Free Sliding Mode Control Method for PMSM Based on a Second-Order Super-Twisting Observer
- Vol. 45, Issue 5, Pages: 55-63(2025)
- 作者机构：
  
  1. 湖南工业大学电气与信息工程学院,湖南,株洲,412007
  2. 湖南文理学院计算机与电气工程学院,湖南,常德,415000
  3. 湖南铁道职业技术学院,湖南,株洲,412001
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1008-0198.2025.05.008
  CLC： TM341
- Published Online：11 November 2025，
  
  Published：11 November 2025
- 稿件说明：
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肖强晖, 魏子诠, 李建英, 张伟, 钟丁爱, 张迈, 程谆. 基于二阶超螺旋观测器的PMSM无模型滑模控制方法[J]. 湖南电力, 2025, 45(5): 55-63.

肖强晖, 魏子诠, 李建英, et al. Model-Free Sliding Mode Control Method for PMSM Based on a Second-Order Super-Twisting Observer[J]. 2025, 45(5): 55-63.
肖强晖, 魏子诠, 李建英, 张伟, 钟丁爱, 张迈, 程谆. 基于二阶超螺旋观测器的PMSM无模型滑模控制方法[J]. 湖南电力, 2025, 45(5): 55-63. DOI： 10.3969/j.issn.1008-0198.2025.05.008.

肖强晖, 魏子诠, 李建英, et al. Model-Free Sliding Mode Control Method for PMSM Based on a Second-Order Super-Twisting Observer[J]. 2025, 45(5): 55-63. DOI： 10.3969/j.issn.1008-0198.2025.05.008.

摘要

针对内置式永磁同步电机（interior permanent magnet synchronous motor

IPMSM）在采用传统滑模控制中存在转速误差收敛速度慢及抖振严重的问题

提出一种新型二阶超螺旋观测器（novel second-order super-twisting observer

NSTO）与无模型非奇异终端滑模控制（model-free non-singular terminal sliding mode control

MFNTSMC）相结合的IPMSM控制方法。首先

建立包含未知参数和负载扰动的IPMSM数学模型

并设计一种无模型非奇异终端滑模控制。基于超局部模型

设计转速与电流的双闭环控制

实现系统状态误差的全局快速收敛。为进一步改善速度跟踪性能

设计新型二阶超螺旋滑模扰动观测器实时观测系统扰动

进行扰动补偿。仿真实验结果表明

相较于传统方法

该方法在抑制抖振、提高收敛速度及鲁棒性方面具有明显优势。

Abstract

Aiming at the problems of slow convergence of speed error and serious vibration in the traditional sliding mode control of interior permanent magnet synchronous motor (IPMSM)

a IPMSM control method combining a novel second-order super-twisting observer（NSTO） with a model-free non-singular terminal sliding mode control (MFNTSMC) algorithm is proposed. First

a mathematical model of IPMSM containing unknown parameters and load disturbances is established

and an MFNTSMC algorithm is designed. Then

based on the hyper-local model

a dual closed-loop MFNTSMC structure is developed to achieve global fast convergence of the system state errors. To further improve speed tracking performance

a novel second-order super-twisting sliding mode disturbance observer is designed to observe system disturbances in real time for disturbance compensation. Finally

simulation and experimental results demonstrate that compared with traditional methods

the proposed approach offers significant advantages in suppressing vibration

improving convergence speed and robustness.

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Keywords

references

NASR A,GU C Y,BUTICCHI G,et al.A low-complexity modulated model predictive torque and flux control strategy for PMSM drives without weighting factor[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics,2023,11(2):1305-1316.

张惠智,王英. 基于改进快速幂次趋近律的永磁同步电机滑模控制[J]. 电机与控制应用,2021,48(3):22-26.

赵凯辉,戴旺坷,周瑞睿,等. 基于扩展滑模扰动观测器的永磁同步电机新型无模型滑模控制[J]. 中国电机工程学报,2022,42(6):2375-2385.

郑美茹,王圣,王丰,等. 基于分数阶次符号函数的永磁同步电机滑模控制技术[J]. 电工技术学报,2017,32(9):56-62.

WANG H M,LI S M,LAN Q,et al.Continuous terminal sliding mode control with extended state observer for PMSM speed regulation system[J]. Transactions of the Institute of Measurement and Control,2017,39(8):1195-1204.

JUNG J W,LEU V Q,DO T D,et al.Adaptive PID speed control design for permanent magnet synchronous motor drives[J]. IEEE Transactions on Power Electronics,2015,30(2):900-908.

刘杰,刘明芹. 基于模糊PID控制的永磁同步电机矢量控制研究[J]. 工业控制计算机,2022,35(1):152-154.

张永昌,杨海涛,魏香龙. 基于快速矢量选择的永磁同步电机模型预测控制[J]. 电工技术学报,2016,31(6):66-73.

汪海波,周波,方斯琛. 永磁同步电机调速系统的滑模控制[J]. 电工技术学报,2009,24(9):71-77.

DENG Y T,WANG J L,LI H W,et al.Adaptive sliding mode current control with sliding mode disturbance observer for PMSM drives[J]. ISA Transactions,2019,88:113-126.

赵峰,罗雯,高锋阳,等. 考虑滑模抖振和扰动补偿的永磁同步电机改进滑模控制[J]. 西安交通大学学报,2020,54(6):28-35.

缪仲翠,张文宾,余现飞,等. 基于转速估计的PMSM分数阶积分滑模控制[J]. 太阳能学报,2021,42(3):28-34.

王要强,朱亚昌,冯玉涛,等. 永磁同步电机新型趋近律滑模控制策略[J]. 电力自动化设备,2021,41(1):192-198.

XU B,ZHANG L,JI W.Improved non-singular fast terminal sliding mode control with disturbance observer for PMSM drives[J]. IEEE Transactions on Transportation Electrification,2021,7(4):2753-2762.

目云奎,李祥飞,陈玄. 自适应高阶滑模永磁同步电机永磁磁链观测[J]. 电子测量与仪器学报,2020,34(3):163-170.

李中奇,张俊豪,唐博伟. 高速列车精确停车的超扭曲非奇异终端滑模控制方法[J]. 铁道学报,2023,45(12):83-91.

方馨,王丽梅,张康. 基于扰动观测器的永磁直线电机高阶非奇异快速终端滑模控制[J]. 电工技术学报,2023,38(2):409-421.

GUO X,HUANG S D,LU K Y,et al.A fast sliding mode speed controller for PMSM based on new compound reaching law with improved sliding mode observer[J]. IEEE Transactions on Transportation Electrification,2022,9(2):2955-2968.

SONG J,WANG Y K,NIU Y G,et al.Periodic event-triggered terminal sliding mode speed control for networked PMSM system:A GA-optimized extended state observer approach[J]. IEEE/ASME Transactions on Mechatronics,2022,27(5):4153-4164.

SUN Z,DENG Y,WANG J,et al.Finite control set model-free predictive current control of PMSM with two voltage vectors based on ultra local model[J]. IEEE Transactions on Power Electronics,2023,38(1):776-788.

宋昱霖,李洪文,邓永停. 永磁同步电机快速超螺旋滑模控制[J]. 控制工程,2023,30(1):62-69.

赵凯辉,易金武,刘文昌,等. 一种永磁同步电机无模型超螺旋快速终端滑模控制方法[J]. 电力系统保护与控制,2023,51(22):88-98.

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