Model-Free Sliding Mode Control of Permanent Magnet Linear Synchronous Motor Using Dynamic Gain Time Delay Estimation

This paper proposes a model-free sliding mode control (MFSMC) using dynamic gain time delay estimation (DGTDE) to improve the position tracking performance of permanent magnet linear synchronous motor (PMLSM). First, an abstract order model of PMLSM is established, which eliminates the motor parameters and nonlinear terms in the conventional dynamic model. On this basis, a nonsingular fast terminal sliding mode (NFTSM) manifold is designed to guarantee the high precision convergence of the system in finite time. Then, the lumped disturbance is simply obtained using the DGTDE method and feed-forward compensation is made to the control loop. The proposed control gain adaptive algorithm can adjust itself online based on tracking errors, thereby balancing the comprehensive control performance of the system under uncertainties. Overall, the proposed method is model free, robust, and adaptive. Finally, comparative experimental results under different operating conditions demonstrate the effectiveness and superiority of the proposed method.

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Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-04-14
DOI
https://doi.org/10.1109/tpel.2025.3560556
Citations
2
Primary Topic
Iterative Learning Control Systems
Type
article
Field-Weighted Citation Impact
2.43

Funders

Controls
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article

Model-Free Sliding Mode Control of Permanent Magnet Linear Synchronous Motor Using Dynamic Gain Time Delay Estimation

Lijun Wang, Zhenbao Pan, Juncai Song, Jiwen Zhao et al.
2 citations
IEEE Transactions on Power Electronics
Iterative Learning Control Systems
2.43
article

Model-Free Sliding Mode Control of Permanent Magnet Linear Synchronous Motor Using Dynamic Gain Time Delay Estimation

Lijun Wang, Zhenbao Pan, Juncai Song, Jiwen Zhao, Zixiang Yu
article en
2 citations

Abstract

This paper proposes a model-free sliding mode control (MFSMC) using dynamic gain time delay estimation (DGTDE) to improve the position tracking performance of permanent magnet linear synchronous motor (PMLSM). First, an abstract order model of PMLSM is established, which eliminates the motor parameters and nonlinear terms in the conventional dynamic model. On this basis, a nonsingular fast terminal sliding mode (NFTSM) manifold is designed to guarantee the high precision convergence of the system in finite time. Then, the lumped disturbance is simply obtained using the DGTDE method and feed-forward compensation is made to the control loop. The proposed control gain adaptive algorithm can adjust itself online based on tracking errors, thereby balancing the comprehensive control performance of the system under uncertainties. Overall, the proposed method is model free, robust, and adaptive. Finally, comparative experimental results under different operating conditions demonstrate the effectiveness and superiority of the proposed method.

IEEE Transactions on Power ElectronicsVol. 40(9)
Anhui University (CN), Hefei University of Technology (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 12%
Iterative Learning Control Systems
2.43
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