Simultaneous Improvement of Efficiency and Stability of High-Speed Motor Drive Systems by New Auto-Tuning Fuzzy Controller,High-Order Discrete Disturbance Observer and Isolated Buck-Boost Converter

项目来源

日本学术振兴会基金(JSPS)

项目主持人

NGUYEN GiaMinhThao

项目受资助机构

島根大学

立项年度

2025

立项时间

未公开

项目编号

25K07797

项目级别

国家级

研究期限

未知 / 未知

受资助金额

4550000.00日元

学科

制御およびシステム工学関連

学科代码

未公开

基金类别

基盤研究(C)

关键词

Disturbance Observer

参与者

未公开

参与机构

島根大学,学術研究院理工学系

项目标书摘要:Outline of Research at the Start:To reduce core loss,copper loss and torque ripples of high-speed motor drive systems with wide bandgap-based inverters,this study proposes a new auto-tuning PD-fuzzy controller with unique design for current harmonics.Moreover,a new discrete speed-based high-order disturbance observer is proposed to improve the motor system response against disturbances and parameter uncertainties.A two-phase isolated buck-boost converter with automatic current balance is also studied to elevate DC-link voltage stability.Lastly,many analyses and simulations are performed to validate experimental results。

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  • 1.Recent Advances in Sliding Mode Control Techniques for Permanent Magnet Synchronous Motor Drives

    • 关键词:
    • permanent magnet synchronous motor (PMSM); sliding mode reaching law(SMRL); sliding mode control (SMC); exponential approach law; speedcontrol;NEURAL-NETWORKS; DISTURBANCE ESTIMATION; TRAJECTORY TRACKING; DESIGNOPTIMIZATION; PREDICTIVE CONTROL; RELUCTANCE MOTOR; SPEED REGULATION;TORQUE RIPPLE; ORDER; SYSTEMS

    As global industry enters the digital era, automation is becoming increasingly pervasive. Due to their superior efficiency and reliability, Permanent Magnet Synchronous Motors (PMSMs) are playing an increasingly prominent role in industrial applications. Sliding Mode Control (SMC) has emerged as a modern control strategy that is widely employed not only in PMSM drive systems, but also across broader power and industrial control domains. This technique effectively mitigates key challenges associated with PMSMs, such as nonlinear behavior and susceptibility to external disturbances, thereby enhancing the precision of speed and torque regulation. This paper provides a thorough review and evaluation of recent advancements in SMC as applied to PMSM control. It outlines the fundamentals of SMC, explores various SMC-based strategies, and introduces integrated approaches that combine SMC with optimization algorithms. Furthermore, it compares these methods, identifying their respective strengths and limitations. This paper concludes by discussing current trends and potential future developments in the application of SMC for PMSM systems.

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