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Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives

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  • Peng Gao

    (College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211899, China
    College of Electrical Engineering, Tongling University, Tongling 244061, China)

  • Guangming Zhang

    (College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211899, China)

  • Xiaodong Lv

    (College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211899, China)

Abstract

This paper proposes a novel model-free super-twisting nonlinear sliding mode control (MFSTNLSMC) strategy with an improved smoothing extended state observer (SESO) for permanent magnet synchronous motor (PMSM) drives. First of all, the improved SESO is introduced to estimate the unknown term of the PMSM ultra-local model. Secondly, a novel nonlinear sliding mode surface (NLSMS) is designed, which can effectively overcome the disadvantages of simple and rough signal processing of the conventional linear sliding mode surface. At the same time, a super-twisting (ST) structure is chosen to suppress the chattering phenomenon and improve system robustness. Then, the Lyapunov stability theorem is used to prove the stability of the proposed control algorithm. Finally, both comparative simulations and experimental demonstrations verify the excellent speed tracking performance and robustness of the proposed control strategy.

Suggested Citation

  • Peng Gao & Guangming Zhang & Xiaodong Lv, 2021. "Model-Free Control Using Improved Smoothing Extended State Observer and Super-Twisting Nonlinear Sliding Mode Control for PMSM Drives," Energies, MDPI, vol. 14(4), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:922-:d:496684
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    References listed on IDEAS

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    1. Shun Li & Xinxiu Zhou, 2018. "Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems," Energies, MDPI, vol. 11(10), pages 1-23, September.
    2. Kamran Zeb & Tiago Davi Curi Busarello & Saif Ul Islam & Waqar Uddin & Kummara Venkata Guru Raghavendra & Muhammad Adil Khan & Hee-Je Kim, 2020. "Design of Super Twisting Sliding Mode Controller for a Three-Phase Grid-connected Photovoltaic System under Normal and Abnormal Conditions," Energies, MDPI, vol. 13(15), pages 1-21, July.
    3. Irfan Sami & Shafaat Ullah & Zahoor Ali & Nasim Ullah & Jong-Suk Ro, 2020. "A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System," Energies, MDPI, vol. 13(9), pages 1-20, May.
    4. Jun Liu & Feihang Zhou & Chencong Zhao & Zhuoran Wang, 2019. "A PI-Type Sliding Mode Controller Design for PMSG-Based Wind Turbine," Complexity, Hindawi, vol. 2019, pages 1-12, June.
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    Cited by:

    1. Piotr Leśniewski & Andrzej Bartoszewicz, 2021. "Reaching Law Based Sliding Mode Control of Sampled Time Systems," Energies, MDPI, vol. 14(7), pages 1-19, March.
    2. Katarzyna Adamiak & Andrzej Bartoszewicz, 2021. "New Time-Varying Sliding Surface for Switching Type Quasi-Sliding Mode Control," Energies, MDPI, vol. 14(13), pages 1-20, June.
    3. Yuzhe Zhang & Xiaodong Liu & Haitao Li & Zhenbin Zhang, 2023. "A Model Independent Predictive Control of PMSG Wind Turbine Systems with a New Mechanism to Update Variables," Energies, MDPI, vol. 16(9), pages 1-15, April.
    4. Zhiming Liao & Yue Hao & Tao Guo & Bingxin Lv & Qiang Wang, 2022. "Second-Order Sliding Mode Control of Permanent Magnet Synchronous Motor Based on Singular Perturbation," Energies, MDPI, vol. 15(21), pages 1-13, October.
    5. Katarzyna Adamiak & Andrzej Bartoszewicz, 2022. "Novel Power-Rate Reaching Law for Quasi-Sliding Mode Control," Energies, MDPI, vol. 15(15), pages 1-14, July.
    6. Mateusz Pietrala & Piotr Leśniewski & Andrzej Bartoszewicz, 2021. "Sliding Mode Control with Minimization of the Regulation Time in the Presence of Control Signal and Velocity Constraints," Energies, MDPI, vol. 14(10), pages 1-23, May.
    7. Yujiao Zhao & Haisheng Yu & Shixian Wang, 2021. "An Improved Super-Twisting High-Order Sliding Mode Observer for Sensorless Control of Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 14(19), pages 1-18, September.
    8. Pawel Latosinski & Andrzej Bartoszewicz, 2023. "Sliding Mode Controllers in Energy Systems and Other Applications," Energies, MDPI, vol. 16(3), pages 1-4, January.
    9. Younes Zahraoui & Fardila M. Zaihidee & Mostefa Kermadi & Saad Mekhilef & Ibrahim Alhamrouni & Mehdi Seyedmahmoudian & Alex Stojcevski, 2023. "Optimal Tuning of Fractional Order Sliding Mode Controller for PMSM Speed Using Neural Network with Reinforcement Learning," Energies, MDPI, vol. 16(11), pages 1-17, May.

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