Algerian Journal of Renewable Energy and Sustainable Development
Volume 7, Numéro 2, Pages 144-165
2025-12-15

Intelligent Sliding Mode Control Under Maximum Power Point Tracking With Indirect Speed Controller Strategy For Mechanical Wind Turbine System



Authors : Bechir Fatnassi . Borhen Torchani . Germain Garcia .

Abstract

This paper introduces an advanced sliding mode control (SMC) approach integrated with a maximum power point tracking (MPPT) strategy, designed for two-mass variable speed wind turbine (VSWT) systems. The method employs an indirect speed controller (ISC) to set the reference electromagnetic torque based on the turbine's maximum power curve. However, the close coupling between electromagnetic torque (Tem) and rotational speed (Ωm) in the ISC limits dynamic flexibility, leading to slower system responses due to mechanical coupling effects. To address this, the proposed ANN-SMC model leverages the robustness of SMC and the adaptability of artificial neural networks (ANN) to enhance decoupling between Tem and Ωm. This ensures optimal performance even in uncertain conditions. The experiment will be conducted on three types of wind conditions: steady, turbulent, and gusty. Simulation results in Matlab/Simulink validate the model's effectiveness in meeting dynamic performance goals.

Keywords

Wind Turbine ; MaximumPowerPoint Tracking (MPPT); Indirect Speed Controller (ISC); Artificial neural network (ANN); Sliding mode controller (SMC);

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