Nonlinear integral sliding mode control of SPMSMs using a dual-layer adaptive super-twisting algorithm

Surface-mounted permanent magnet synchronous motors (SPMSMs) require advanced speed regulation strategies due to their nonlinear dynamics and sensitivity to disturbances. Conventional integral sliding mode control (ISMC), when applied to these drives, faces critical drawbacks such as saturation effects caused by large initial speed errors and adaptive gain overestimation in super-twisting algorithms. To address these challenges, this paper proposes a nonlinear integral sliding mode control scheme enhanced with a dual-layer adaptive super-twisting algorithm (NISMC-DASTA). A novel integral sliding surface with a dynamic anti-saturation gain mechanism is introduced to accelerate error convergence, enhance disturbance rejection, and mitigate integrator windup. Additionally, a dual-layer adaptive mechanism is embedded within the super-twisting controller to adjust its gains dynamically. This two-tier adaptation not only suppresses chattering but also alleviates the trade-off between rapid convergence and excessive gain amplification commonly observed in single-layer adaptive STA approaches. Extensive simulations and experimental results on a practical SPMSM drive platform validate the superior performance and robustness of the proposed NISMC-DASTA method.

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Publication Details

Journal
Ain Shams Engineering Journal
Published
2025-12-31
DOI
https://doi.org/10.1016/j.asej.2025.103948
Primary Topic
Iterative Learning Control Systems
Type
article
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article

Nonlinear integral sliding mode control of SPMSMs using a dual-layer adaptive super-twisting algorithm

Yaqing Gu, Mingyuan Hu, Ping Wang, Zia Ullah et al.
Ain Shams Engineering Journal
Iterative Learning Control Systems
article

Nonlinear integral sliding mode control of SPMSMs using a dual-layer adaptive super-twisting algorithm

Yaqing Gu, Mingyuan Hu, Ping Wang, Zia Ullah, Lei Zhang, Ran Tao
article en

Abstract

Surface-mounted permanent magnet synchronous motors (SPMSMs) require advanced speed regulation strategies due to their nonlinear dynamics and sensitivity to disturbances. Conventional integral sliding mode control (ISMC), when applied to these drives, faces critical drawbacks such as saturation effects caused by large initial speed errors and adaptive gain overestimation in super-twisting algorithms. To address these challenges, this paper proposes a nonlinear integral sliding mode control scheme enhanced with a dual-layer adaptive super-twisting algorithm (NISMC-DASTA). A novel integral sliding surface with a dynamic anti-saturation gain mechanism is introduced to accelerate error convergence, enhance disturbance rejection, and mitigate integrator windup. Additionally, a dual-layer adaptive mechanism is embedded within the super-twisting controller to adjust its gains dynamically. This two-tier adaptation not only suppresses chattering but also alleviates the trade-off between rapid convergence and excessive gain amplification commonly observed in single-layer adaptive STA approaches. Extensive simulations and experimental results on a practical SPMSM drive platform validate the superior performance and robustness of the proposed NISMC-DASTA method.

Ain Shams Engineering JournalVol. 17(1)
Shanxi University (CN), Southeast University (CN)
Affordable and clean energy
Openalex Percentile: Top 35%
Iterative Learning Control Systems
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Nonlinear integral sliding mode control of SPMSMs using a dual-layer adaptive super-twisting algorithm — Yaqing Gu, Mingyuan Hu, et al. · Ain Shams Engineering Journal (2025) | TGRS Research Map | TGRS