CLC number: TK83; TN06
On-line Access: 2022-02-28
Received: 2020-07-03
Revision Accepted: 2022-04-22
Crosschecked: 2021-06-13
Cited: 0
Clicked: 7024
Citations: Bibtex RefMan EndNote GB/T7714
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.
@article{title="Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer",
author="Lingfei XIAO, Leiming MA, Xinhao HUANG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="23",
number="2",
pages="328-338",
year="2022",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000317"
}
%0 Journal Article
%T Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer
%A Lingfei XIAO
%A Leiming MA
%A Xinhao HUANG
%J Frontiers of Information Technology & Electronic Engineering
%V 23
%N 2
%P 328-338
%@ 2095-9184
%D 2022
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000317
TY - JOUR
T1 - Intelligent fractional-order integral sliding mode control for PMSM based on an improved cascade observer
A1 - Lingfei XIAO
A1 - Leiming MA
A1 - Xinhao HUANG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 23
IS - 2
SP - 328
EP - 338
%@ 2095-9184
Y1 - 2022
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2000317
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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