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Memory-Based Integral Sliding-Mode Control for T-S Fuzzy Systems With PMSM via Disturbance Observer.

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    This summary is machine-generated.

    This study introduces a novel disturbance observer (DOB)-based memory integral sliding-mode control (ISMC) for permanent magnet synchronous motors (PMSM). The new method effectively handles mismatched disturbances using a Takagi-Sugeno fuzzy approach.

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    Area of Science:

    • Control Systems Engineering
    • Fuzzy Logic Systems
    • Electrical Machines

    Background:

    • Permanent magnet synchronous motors (PMSM) are widely used but susceptible to mismatched disturbances.
    • Existing control methods often struggle to effectively compensate for these disturbances, especially in complex fuzzy systems.
    • Integral sliding-mode control (ISMC) offers potential but requires adaptation for T-S fuzzy models with memory.

    Purpose of the Study:

    • To design a novel disturbance observer (DOB)-based memory integral sliding-mode control (ISMC) for PMSM systems.
    • To address mismatched disturbances in Takagi-Sugeno (T-S) fuzzy models using a memory-based ISMC.
    • To ensure finite-time reachability and global asymptotic stability under disturbance.

    Main Methods:

    • A DOB is employed to estimate and counteract system disturbances.
    • A memory-based ISMC scheme with constant delay is developed for T-S fuzzy systems.
    • An integral-type fuzzy switching surface function (IFSSF) is defined, incorporating state-dependent matrices and memory parameters.
    • H∞ control theory is utilized to guarantee disturbance attenuation.

    Main Results:

    • The proposed fuzzy ISMC ensures the reachability condition in finite time.
    • Mismatched disturbances are effectively attenuated.
    • Sufficient conditions for global asymptotic stability of the sliding-mode dynamics are derived.
    • The methodology is validated through a PMSM model controller design.

    Conclusions:

    • The DOB-based memory fuzzy ISMC provides a robust and effective control strategy for PMSM.
    • This approach successfully integrates memory, fuzzy logic, and disturbance observation for enhanced performance.
    • The developed method demonstrates applicability and stability for complex, disturbed systems.