Enhanced MPPT in Permanent Magnet Direct-Drive Wind Power Systems via Improved Sliding Mode Control

Huajun Ran, Linwei Li (), Ao Li and Xinquan Wang
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Huajun Ran: College of Electricity & New Energy, China Three Gorges University, Yichang 443000, China
Linwei Li: College of Electricity & New Energy, China Three Gorges University, Yichang 443000, China
Ao Li: College of Electricity & New Energy, China Three Gorges University, Yichang 443000, China
Xinquan Wang: College of Electricity & New Energy, China Three Gorges University, Yichang 443000, China

Energies, 2024, vol. 17, issue 18, 1-17

Abstract: Addressing the challenges of significant speed overshoot, stability issues, and system oscillations associated with the sliding mode control (SMC) strategy in maximum power point tracking (MPPT) for permanent magnet synchronous wind power systems, this paper introduces a fuzzy sliding mode control (FSMC) method employing an innovative exponential convergence law. By incorporating a velocity adjustment function into the traditional exponential convergence law, a novel convergence law was designed to mitigate oscillations during the sliding phase and expedite the convergence rate. Additionally, a fuzzy controller was developed to implement a fuzzy adaptive SMC strategy, optimizing the MPPT for permanent magnet synchronous wind power generation systems. Simulation results indicated that this approach offered a faster response and superior interference rejection capabilities, compared to conventional and modified SMC strategies. The improved FSMC strategy demonstrated a swift, dynamic response and excellent steady-state performance, improving the efficiency of MPPT, thus confirming the effectiveness of the proposed method.

Keywords: permanent magnet synchronous wind power generation systems; MPPT; fuzzy controller; sliding mode control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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