基于扩张状态观测器的永磁同步电机转速环连续螺旋控制

吴宜; 梅珂琪; 丁世宏; 葛群辉; 王巍植

doi:10.12052/gdutxb.220062

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

基于扩张状态观测器的永磁同步电机转速环连续螺旋控制

更新时间：2026-05-27

- 基于扩张状态观测器的永磁同步电机转速环连续螺旋控制
- An Extended State Observer Based Continuous Twisting Control for PMSM Speed Regulation
- 广东工业大学学报 2022年39卷第5期页码：112-119
- 作者机构：
  
  1. 江苏大学电气信息工程学院,江苏,镇江,212000
  2. 德玛克 (长兴) 注塑系统有限公司,浙江,湖州,313100
- 作者简介：
  
  吴宜(1997–)，女，硕士研究生，主要研究方向为电机控制
  梅珂琪(1993–)，男，讲师，博士，主要研究方向为滑模控制理论，E-mail：mkqujs@163.com
- 基金信息：
  
  国家自然科学基金资助项目(61973142)
- DOI：10.12052/gdutxb.220062
  中图分类号： TG156
- 纸质出版：2022
- 稿件说明：
移动端阅览
吴宜, 梅珂琪, 丁世宏, 葛群辉, 王巍植. 基于扩张状态观测器的永磁同步电机转速环连续螺旋控制[J]. 广东工业大学学报, 2022, 39(5): 112-119.

Wu Yi, Mei Ke-qi, Ding Shi-hong, et al. An Extended State Observer Based Continuous Twisting Control for PMSM Speed Regulation[J]. 2022, 39(5): 112-119.
吴宜, 梅珂琪, 丁世宏, 葛群辉, 王巍植. 基于扩张状态观测器的永磁同步电机转速环连续螺旋控制[J]. 广东工业大学学报, 2022, 39(5): 112-119. DOI： 10.12052/gdutxb.220062.

Wu Yi, Mei Ke-qi, Ding Shi-hong, et al. An Extended State Observer Based Continuous Twisting Control for PMSM Speed Regulation[J]. 2022, 39(5): 112-119. DOI： 10.12052/gdutxb.220062.

摘要

针对传统矢量控制策略在保持系统动态性能的基础上无法消除系统扰动的问题，为进一步提高系统的控制精度及抗扰能力，提出了一种基于扩张状态观测器(Extended State Observer

ESO)的连续螺旋滑模控制(Continuous Twisting Sliding Mode Control

CTSMC)方法。首先，该方法以双闭环矢量控制结构为基础，在转速环部分采用连续螺旋控制方法，与传统控制方法相比，可以将误差收敛到一定的区域，不仅提高了负载扰动的鲁棒性，还有效减少了系统的抖振。其次，在此控制器的基础上加入扩张状态观测器，估计系统的总扰动，并将此信号用于前馈补偿，以进一步提高系统的动态性能。最后，利用Lyapunov稳定性理论进行了闭环稳定性分析。通过仿真和实验，验证了基于扩张状态观测器的连续螺旋滑模控制方法的正确性及可行性。

Abstract

Aiming at the problem that the traditional vector control strategy can not eliminate the system disturbance on the basis of maintaining the dynamic performance of the system

and at the same time

in order to further improve the control accuracy and anti-interference ability of the system

a continuous twisting sliding mode control (CTSMC) method based on extended state observer (ESO) is proposed. Firstly

based on the double closed-loop vector control structure

the continuous twisting control method is adopted in the speed loop. Compared with the traditional control method

this method can converge the error to a certain region

not only improving the robustness of load disturbance

but also reducing the chattering phenomenon. Secondly

based on this controller

an ESO is added to estimate the total disturbance of the system

and the signal is used for the feedforward compensation controller to further improve the dynamic performance of the system. Finally

the closed-loop stability analysis is carried out by using Lyapunov stability theory

and the effectiveness of this method is verified by simulation and experiment.

关键词

Keywords

references

SONG D, WU C H, SUN C B, et al . Research of PMSM control based on sliding mode observer [J ] . Power Electronics, 2007, 41(3): 9-11.

ZHOU Q, LIN G H, MA H, et al . Adaptive neural network fault-tolerant control for MIMO systems with dead zone inputs [J ] . Scientia Sinica:Informationis, 2021, 51(4): 618-632.

YANG B, ZHOU Q, CAO L, et al . Event-triggered control for multi-agent systems with prescribed performance and full state constraints [J ] . Acta Automatica Sinica, 2019, 45(8): 1527-1535.

TIAN Z, SHEN K. Research on sensorless control system of PMSM based on adaptive fuzzy sliding mode observer [J]. Journal of Physics Conference Series, 2020, 1576(1): 012050.

ZHANG X H, LIU H X, DING S H, et al . PMSM speed-adjusting system based on disturbance observer and finite-time control [J ] . Control and Decision, 2009, 24(7): 1028-1032.

SUN Y J, TAN X, LIU Z Z, et al . Design on adaptive fuzzy control PI parameter vector control system of PMSM [J ] . Journal of Hunan University of Arts and Science:Natural Science Edition, 2013, 25(4): 53-56.

LI L, LIU Y, ZHOU Y H. Review of model predictive control technology for permanent magnet synchronous motors [J]. Industrial Instrumentation Automation, 2020(5): 11-15.

ZHANG J Y, JU Y F, LIU Y C, et al . Permanent magnet synchronous motor adaptive inverse control based on extended state observer [J ] . Modern Electronics Technique, 2021, 44(21): 96-100.

DING S, MEI K, LI S. A new second-order sliding mode and its application to nonlinear constrained systems [J]. IEEE Transactions on Automatic Control, 2019, 64(6): 2545-2552.

WANG B, LIN S J, KE J. Improved PID control of permanent magnet synchronous motor with sliding mode observer [J]. Micromotors, 2021, 54(7): 66-72.

LIU L, DING S, YU X H. Second-order sliding mode control design subject to an asymmetric output constraint [J]. Circuits and Systems II:Express Briefs, IEEE Transactions on, 2020, 68(4): 1278-1282.

HOU Q, DING S. GPIO based super-twisting sliding mode control for PMSM [J]. Circuits and Systems II:Express Briefs, IEEE Transactions on, 2020, 68(2): 747-751.

MEI K Q, MA L, DING S H, et al . Second-order sliding mode control design subject to sliding variable constraints [J ] . Control Theory Applications, 2018(3): 414-420.

CHENG Y, LI T T. Novel composite integral sliding mode control based on fractional order of PMSM [J]. Electric Drive, 2018, 48(8): 10-12.

TORRES-GONZA´LEZ V, SANCHEZ T, FRIDMAN L M, et al . Design of continuous twisting algorithm [J ] . Automatic, 2017, 80: 119-126.

CHEN X, LI X F, ZHOU Y. Permanent magnet synchronous motor control based on new sliding mode disturbance observer [J]. Electric Machines Control Application, 2020, 47(3): 23-27.

ZHOU Q, CHEN G D, LU R Q, et al . Disturbance-observer-based event-triggered control for multi-agent systems with input saturation [J ] . Scientia Sinica:Informationis, 2019(11): 1502-1516.

SANCHEZ T, MORENO J A. A constructive Lyapunov function design method for a class of homogeneous systems[C]// 53rd IEEE Conference on Decision and Control. Los Angeles: IEEE, 2014: 5500-5505.

HOU Q, DING S, YU X H. Composite super-twisting sliding mode control design for PMSM speed regulation problem based on a novel disturbance observer [J]. IEEE Transactions on Energy Conversion, 2020, 36(4): 2591-2599.

FRIDMAN, LEONID, NEGRETE, et al . Adaptive continuous twisting algorithm [J ] . International Journal of Control, 2016, 89(9): 1798-1806.

WANG Y Q, ZHU Y C, FENG Y T, et al . New reaching law sliding mode control strategy for permanent magnet synchronous motor [J ] . Electric Power Automation Equipment, 2021, 41(1): 192-198.

CHEN Z X, GAO Q H. Convergence analysis and application of adaptive extended state observer [J]. Control Theory Applications, 2018, 35(11): 1697-1702.

YANG Y, QIN S. A new modified super-twisting algorithm with double closed-loop feedback regulation [J]. Transactions of the Institute of Measurement and Control, 2016, 39(11): 1693-1702.

CASTILLO I, STEINBERGER M, FRIDMAN L, et al . Saturated super-twisting algorithm based on perturbation estimator[C ] //2016 IEEE 55th Conference on Decision and Control (CDC). Las Vegas: IEEE, 2016: 7325-7328.

CHEN L J, YING B S, MA Q, et al . Design of PMSM sliding mode observer based on fuzzy RBF neural network [J ] . Electric Machines Control Application, 2019, 46(6): 66-71.

ZHANG Q, GUO H, LIU Y, et al . Robust plug-in repetitive control for speed smoothness of cascaded-PI PMSM drive [J ] . Mechanical Systems and Signal Processing, 2022, 163(8): 108090.

LIU S, WANG J, ZHENG Z. Research on PMSM speed control system based on adaptive fuzzy control [J]. Journal of Physics Conference Series, 2021, 1732: 012156.

ZHANG M, XIAO X, LI Y D. Speed and flux linkage observer for permanent magnet synchronous motor based on EKF [J]. Proceedings of the CSEE, 2007, 27(36): 36-41.

KIM, SEOK-KYOON, LEE, et al . Robust speed control algorithm with disturbance observer for uncertain PMSM [J ] . International Journal of Electronics:Theoretical Experimental, 2018, 105(8): 1300-1318.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于AAGV-YOLOX模型的输电线路异物检测研究

基于高效时序建模的RGB-T跟踪

面向灾后救援的多无人机通感算一体化资源分配优化方法

具守恒量波动方程的循环双子网物理信息神经网络

双模态迭代交叉注意力融合集成框架