Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation

The permanent magnet synchronous motor control system is characterized by its nonlinear and strongly coupled complexity, presenting significant challenges for control performance optimization. To address these challenges, a Fuzzy adaptive fractional order [Formula: see text] control strategy based on torque observation compensation is proposed. The parameters of the fractional order [Formula: see text] controller are optimized real time using fuzzy logic reasoning, in order to enhance the speed of parameters tuning, a graphical design method of the fractional order [Formula: see text] controller parameters based on frequency domain performance indicators is proposed to obtain the initial values of the fuzzy adaptive fractional order [Formula: see text] controller parameters graphically and intuitively. Furthermore, a load torque observer is designed to improve the anti interference capability of the system by proportionally converting the observed load torque into compensation current in equal proportion. Simulation and experimental results validate that the proposed strategy demonstrates superior dynamic and static performance, as well as robustness.

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Publication Details

Journal
Scientific Reports
Published
2025-01-16
DOI
https://doi.org/10.1038/s41598-024-84768-4
Citations
18
Primary Topic
Advanced Control Systems Design
Type
article
Field-Weighted Citation Impact
21.86

Funders

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article

Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation

Chao Song, Xinyue Liang, Junjie Han, Dejun Liu et al.
18 citations
Scientific Reports
Advanced Control Systems Design
21.86
article

Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation

Chao Song, Xinyue Liang, Junjie Han, Dejun Liu, Guangda Chen, Yanming Cheng
article en
18 citations

Abstract

The permanent magnet synchronous motor control system is characterized by its nonlinear and strongly coupled complexity, presenting significant challenges for control performance optimization. To address these challenges, a Fuzzy adaptive fractional order [Formula: see text] control strategy based on torque observation compensation is proposed. The parameters of the fractional order [Formula: see text] controller are optimized real time using fuzzy logic reasoning, in order to enhance the speed of parameters tuning, a graphical design method of the fractional order [Formula: see text] controller parameters based on frequency domain performance indicators is proposed to obtain the initial values of the fuzzy adaptive fractional order [Formula: see text] controller parameters graphically and intuitively. Furthermore, a load torque observer is designed to improve the anti interference capability of the system by proportionally converting the observed load torque into compensation current in equal proportion. Simulation and experimental results validate that the proposed strategy demonstrates superior dynamic and static performance, as well as robustness.

Scientific ReportsVol. 15(1)
Beihua University (CN), Tianjin Economic-Technological Development Area (CN)
People's Government of Jilin Province, Education Department of Jilin Province
Openalex Percentile: Top 0%
Advanced Control Systems Design
21.86
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Fuzzy self-tuning fractional order PD permanent magnet synchronous motor speed control based on torque compensation — Chao Song, Xinyue Liang, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS