Improved Sliding Mode Control of Permanent Magnet Synchronous Motor Based on Nonlinear Disturbance Observer

Huang Longzhe; Hong Junjie; Zhao Minglang; He Yilong; Yu Bingrong

doi:10.12052/gdutxb.240081

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Improved Sliding Mode Control of Permanent Magnet Synchronous Motor Based on Nonlinear Disturbance Observer

更新时间：2026-05-27

- Improved Sliding Mode Control of Permanent Magnet Synchronous Motor Based on Nonlinear Disturbance Observer
- Vol. 42, Issue 5, Pages: 58-67(2025)
- 作者机构：
  
  广东工业大学自动化学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.240081
  CLC： TM341
- Published：2025
- 稿件说明：
移动端阅览
黄龙蛰, 洪俊杰, 赵明郎, 等. 基于非线性扰动观测器的永磁同步电机改进滑模控制[J]. 广东工业大学学报, 2025, 42(5): 58–67.

Huang Longzhe, Hong Junjie, Zhao Minglang, et al. Improved Sliding Mode Control of Permanent Magnet Synchronous Motor Based on Nonlinear Disturbance Observer[J]. 2025, 42(5): 58-67.
黄龙蛰, 洪俊杰, 赵明郎, 等. 基于非线性扰动观测器的永磁同步电机改进滑模控制[J]. 广东工业大学学报, 2025, 42(5): 58–67. DOI： 10.12052/gdutxb.240081

Huang Longzhe, Hong Junjie, Zhao Minglang, et al. Improved Sliding Mode Control of Permanent Magnet Synchronous Motor Based on Nonlinear Disturbance Observer[J]. 2025, 42(5): 58-67. DOI： 10.12052/gdutxb.240081.

摘要

针对传统滑模速度观测器抗干扰性能不够强以及阶跃响应出现超调的问题，提出了一种基于非线性扰动观测器的永磁同步电机改进滑模控制。为了解决超调问题，对滑模控制的指数趋近率进行改进；为了提高系统的鲁棒性和抗干扰性，利用模糊控制调节滑模控制器的参数，并采用非线性扰动观测器估计系统扰动进行前馈补偿。最后通过仿真与实验研究证明了所提出控制策略的有效性。

Abstract

Aiming at the problems that the anti-interference performance of the traditional sliding mode speed observer is not strong enough and the step response has overshoot

an improved sliding mode control with disturbance compensation for permanent magnet synchronous motors is proposed. To solve the overshoot problem

the exponential reaching law of sliding mode control is improved. To improve the robustness and anti-interference of the system

fuzzy control is used to adjust the parameters of the sliding mode controller

and a nonlinear disturbance observer is adopted to estimate the system disturbance for feedforward compensation. Finally

the effectiveness of the proposed control strategy is proved through simulation and experimental studies.

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references

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