Sliding mode control based on maximum power point tracking for dynamics of wind turbine system

This article presents a proportional-integral sliding mode control (PI-SMC) approach for a two-mass variable speed wind turbine (VSWT) system. Most studies on wind turbines typically focus mainly on the electromagnetic part of the generators, or even on the high-speed part, considering the shaft stiffness as negligible. However, the generator torque is actually driven by the aerodynamic torque, and a two-mass system like the one studied here plays the role of a transmission element for this power. To address this challenge, the problem of low power generation resulting from wind speed variability is tackled by designing a PI-SMC control law, capable of controlling the mechanical turbine model that optimizes power and torque by tracking the maximum power point (MPPT) for rotational speed and aerodynamic power. To validate the developed theoretical results, an application of the wind turbine system is simulated in Matlab/Simulink, for a particular case. The control used is capable of satisfying the dynamic performance of the systems.

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Publication Details

Journal
Frontiers in Energy Research
Published
2024-08-05
DOI
https://doi.org/10.3389/fenrg.2024.1434695
Citations
11
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
2.30

Funders

Controls
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article

Sliding mode control based on maximum power point tracking for dynamics of wind turbine system

Borhen Torchani, Ibraheem Kasim Ibraheem, Ahmad Taher Azar, Saim Ahmed et al.
11 citations
Frontiers in Energy Research
Wind Turbine Control Systems
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article

Sliding mode control based on maximum power point tracking for dynamics of wind turbine system

Borhen Torchani, Ibraheem Kasim Ibraheem, Ahmad Taher Azar, Saim Ahmed, Ahmed Redha Mahlous
article en
11 citations

Abstract

This article presents a proportional-integral sliding mode control (PI-SMC) approach for a two-mass variable speed wind turbine (VSWT) system. Most studies on wind turbines typically focus mainly on the electromagnetic part of the generators, or even on the high-speed part, considering the shaft stiffness as negligible. However, the generator torque is actually driven by the aerodynamic torque, and a two-mass system like the one studied here plays the role of a transmission element for this power. To address this challenge, the problem of low power generation resulting from wind speed variability is tackled by designing a PI-SMC control law, capable of controlling the mechanical turbine model that optimizes power and torque by tracking the maximum power point (MPPT) for rotational speed and aerodynamic power. To validate the developed theoretical results, an application of the wind turbine system is simulated in Matlab/Simulink, for a particular case. The control used is capable of satisfying the dynamic performance of the systems.

Frontiers in Energy ResearchVol. 12
Tunis University (TN), University of Baghdad (IQ), Prince Sultan University (SA), Benha University (EG)
Prince Sultan University
Affordable and clean energy
Openalex Percentile: Top 11%
Wind Turbine Control Systems
2.30
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