Full Text:   <13415>

Summary:  <785>

CLC number: TK83; TN06

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2021-06-13

Cited: 0

Clicked: 8632

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Lingfei XIAO

https://orcid.org/0000-0003-0255-1124

Leiming MA

https://orcid.org/0000-0001-5831-959X

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.2 P.328-338

http://doi.org/10.1631/FITEE.2000317


Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer


Author(s):  Lingfei XIAO, Leiming MA, Xinhao HUANG

Affiliation(s):  College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; more

Corresponding email(s):   lfxiao@nuaa.edu.cn

Key Words:  Permanent magnet synchronous motor, Fractional-order integral sliding mode, Optimization algorithm, Sensorless control, Observer



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.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2025 Journal of Zhejiang University-SCIENCE