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<p>This paper presents a maximum power point tracking (MPPT) coordination control strategy for fully controlled doubly fed induction generator (FC-DFIG) wind power systems, integrating Hamilton-Jacobi Inequality (HJI) sliding mode control (SMC) and port-controlled Hamiltonian (PCH) control.SMC is noted for its rapid dynamic response but is prone to chattering, whereas PCH demonstrates significant stability despite its slower dynamic response. By integrating a coordination controller, the SMC enhances responsiveness in transient state, while the PCH control ensures stability in steady state. Together, they collectively achieve MPPT control for FC-DFIG systems. The effectiveness and advantages of the proposed control strategy are validated through simulation and experiment.</p>

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Maximum power point tracking coordination control for fully controlled doubly fed induction generator wind power systems

  • 期刊论文

  • 发表日期：

    2025年7月6日

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  • Yongshu Li,
  • Weiwei Sun,
  • Dehai Yu,
  • Yashu Liu,
  • Xinyu Lv

摘要

This paper presents a maximum power point tracking (MPPT) coordination control strategy for fully controlled doubly fed induction generator (FC-DFIG) wind power systems, integrating Hamilton-Jacobi Inequality (HJI) sliding mode control (SMC) and port-controlled Hamiltonian (PCH) control.SMC is noted for its rapid dynamic response but is prone to chattering, whereas PCH demonstrates significant stability despite its slower dynamic response. By integrating a coordination controller, the SMC enhances responsiveness in transient state, while the PCH control ensures stability in steady state. Together, they collectively achieve MPPT control for FC-DFIG systems. The effectiveness and advantages of the proposed control strategy are validated through simulation and experiment.