基于改进级联观测器的永磁同步电机智能分数阶积分滑模控制

肖玲斐; 马磊明; 黄欣浩

doi:10.1631/FITEE.2000317

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基于改进级联观测器的永磁同步电机智能分数阶积分滑模控制

常规文章 | Updated：2022-04-19

- 基于改进级联观测器的永磁同步电机智能分数阶积分滑模控制
  Enhanced Publication
- Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer
- 信息与电子工程前沿（英文） 2022年23卷第2期页码：328-338
- Affiliations：
  
  1.College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing210016, China
  2.State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou310027, China
  3.College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing210016, China
- Author bio：
  
  ‡Corresponding author
- Funds：
  
  National Natural Science Foundation of China(51876089);Open Foundation of the State Key Laboratory of Fluid Power and Mechatronic Systems, China(GZKF-202005)
- DOI：10.1631/FITEE.2000317
  中图分类号： TK83;TN06
- 收稿：2020-07-03，
  
  录用：2021-06-13，
  
  纸质出版：2022-02-0
- Accepted：
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肖玲斐, 马磊明, 黄欣浩. 基于改进级联观测器的永磁同步电机智能分数阶积分滑模控制[J]. 信息与电子工程前沿（英文）, 2022,23(2):328-338.

Lingfei XIAO, Leiming MA, Xinhao HUANG. Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(2): 328-338.
肖玲斐, 马磊明, 黄欣浩. 基于改进级联观测器的永磁同步电机智能分数阶积分滑模控制[J]. 信息与电子工程前沿（英文）, 2022,23(2):328-338. DOI： 10.1631/FITEE.2000317.

Lingfei XIAO, Leiming MA, Xinhao HUANG. Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(2): 328-338. DOI： 10.1631/FITEE.2000317.

摘要

提出一种基于改进级联观测器的智能分数阶积分滑模控制（FOISMC）策略。首先，针对永磁同步电机设计了分数阶积分滑模控制器，该控制器有良好跟踪性能，具有强鲁棒性，且能有效削弱抖振。所提策略结合了积分能消除稳态跟踪误差和分数阶微积分灵活的优点。其次，提出一种改进的级联观测器，能获得较小的转子信息观测误差。所设计级联观测器结合了自适应滑模观测器和扩展高增益观测器。此外，利用改进的变速灰狼优化算法优化控制器参数。最后，在综合考虑模型不确定性和外部干扰的情况下，通过仿真和实验验证了所提策略的有效性。

Abstract

In this paper

an intelligent fractional-order integral sliding mode control (FOISMC) strategy based on an improved cascade observer is proposed. First

an FOISMC strategy is designed to control a permanent magnet synchronous motor. It has good tracking performance

is strongly robust

and can effectively reduce chattering. The proposed FOISMC strategy associates strong points of the integral action (which can eliminate steady-state tracking errors) and the fractional calculus (which is flexible). Second

an improved cascade observer is proposed to detect the rotor information with a smaller observation error. The proposed observer combines an adaptive sliding mode observer and an extended high-gain observer. In addition

an improved variable-speed grey wolf optimization algorithm is designed to enhance controller parameters. The effectiveness of the strategy is tested using simulations and an experiment involving model uncertainty and external disturbance.

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