Torque Oscillation Attenuation in PMSM Using Equivalent-Input-Disturbance-Based Sliding-Mode Control

This paper presents a torque oscillation attenuation method for permanent magnet synchronous motors (PMSMs) based on the combination of sliding-mode control (SMC) and the equivalent input disturbance (EID) approach. To deal with the changes in PMSM parameters, we explored a continuous-domain ant colony optimization (CDACO) method to design a control system for such a plant. This is the first application of SMC-EID to uncertain PMSM plants, with CDACO enabling robust parameter tuning in continuous spaces. First, we designed an EID estimator to estimate the disturbance caused by torque oscillation. Next, we added the estimated disturbance to the sliding-mode controller to improve disturbance attenuation performance. Then, we extended an ant colony optimization (ACO) algorithm to the continuous domain to optimize controller parameters for an uncertain plant. Finally, a speed control experiment was carried out on a two-mass experimental system for PMSMs to demonstrate the validity of the method. The experimental results show that our method yields better control performance than the SMC.

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Publication Details

Journal
Actuators
Published
2026-02-01
DOI
https://doi.org/10.3390/act15020085
Primary Topic
Control Systems in Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Torque Oscillation Attenuation in PMSM Using Equivalent-Input-Disturbance-Based Sliding-Mode Control

Ruoyu Jiang, Jinhua She, Feng Wang, Xiang Yin et al.
Actuators
Control Systems in Engineering
article

Torque Oscillation Attenuation in PMSM Using Equivalent-Input-Disturbance-Based Sliding-Mode Control

Ruoyu Jiang, Jinhua She, Feng Wang, Xiang Yin, Seiichi Kawata
article en

Abstract

This paper presents a torque oscillation attenuation method for permanent magnet synchronous motors (PMSMs) based on the combination of sliding-mode control (SMC) and the equivalent input disturbance (EID) approach. To deal with the changes in PMSM parameters, we explored a continuous-domain ant colony optimization (CDACO) method to design a control system for such a plant. This is the first application of SMC-EID to uncertain PMSM plants, with CDACO enabling robust parameter tuning in continuous spaces. First, we designed an EID estimator to estimate the disturbance caused by torque oscillation. Next, we added the estimated disturbance to the sliding-mode controller to improve disturbance attenuation performance. Then, we extended an ant colony optimization (ACO) algorithm to the continuous domain to optimize controller parameters for an uncertain plant. Finally, a speed control experiment was carried out on a two-mass experimental system for PMSMs to demonstrate the validity of the method. The experimental results show that our method yields better control performance than the SMC.

ActuatorsVol. 15(2)
Ministry of Education of the People's Republic of China (CN), North China University of Technology (CN), Tokyo University of Technology (JP), China University of Geosciences (CN), Shandong Institute of Automation (CN)
Natural Science Foundation of Hubei Province, China University of Geosciences, Japan Society for the Promotion of Science, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 71%
Control Systems in Engineering
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Torque Oscillation Attenuation in PMSM Using Equivalent-Input-Disturbance-Based Sliding-Mode Control — Ruoyu Jiang, Jinhua She, et al. · Actuators (2026) | TGRS Research Map | TGRS