DFIG-Based Wind Turbine Control Using High-Gain Observer

Baala, Youssef; Bri, Seddik

doi:10.1109/iraset48871.2020.9092280

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…As atmospheric conditions, mechanical stresses, and even turbine geometry change over time, the dependence of the mechanical angular velocity on the initially set wind speed changes over time and, therefore, requires recalculation based on the measurements [25]. At many sites [22,[26][27][28], energy efficiency is reduced due to the age of the turbine's calibration method, which uses invalid mathematical models.…”

Section: Introduction 1background Informationmentioning

confidence: 99%

Visualizing the Maximum Energy Zone of Wind Turbines Operating at Time-Varying Wind Speeds

Chioncel,

Spunei,

Tirian

2024

Sustainability

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Wind turbines are one of the leading renewable sources of electricity. They are located in areas where the energy potential of the wind is high and more or less permanent. Their efficient operation depends on certain technical characteristics of the entire wind system (wind turbines, generator, automation system, regulation, and control). This paper analyses experimental data from wind turbines, WT, in the Dobrogea area: wind speed, v, velocity, n, and power, PEG, at the electric generator, EG. These are used to identify the local maxima of wind turbine power at different wind speeds. Based on this, a mathematical model for wind turbines and the power losses caused by inefficient control are determined. The mathematical model is used to visualize the maximum energy zones. At the end of this study, an algorithm is given that allows for the visualization of the optimal energy zone. The algorithm resulting from the analyzed case studies can be implemented by the control system in order to maximize the produced electricity with any variation in wind speed.

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Section: Introduction 1background Informationmentioning

confidence: 99%

Visualizing the Maximum Energy Zone of Wind Turbines Operating at Time-Varying Wind Speeds

Chioncel,

Spunei,

Tirian

2024

Sustainability

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“…The inaccessibility of the actual OFWT system states is also an issue. Researchers [33][34][35] have proposed control strategies by using HGO for estimating the system's states and stable zero dynamics minimum-phase nonlinear systems respectively. Therefore, inspired by all the above-mentioned robust control techniques, this article aims to design a hybrid control algorithm that can provide all system state estimations and can mitigate disturbances/uncertainties at the same time.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Backstepping Integral Sliding Mode Control for 5DOF Barge-Type OFWT under Output Constraint

Shah

Gao

Ahmad

et al. 2023

JMSE

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This article presents a new control solution for a dynamical model of a translational oscillator with a rotational actuator (TORA) based on multi-body dynamics for a barge-type offshore floating wind turbine (OFWT). TORA has been employed as an active structural control strategy. The solution of bounding the output movements of platform pitch and tower bending angle to a certain limit, along with mitigating the OFWT vibrations due to environmental disturbances and uncertainties, is presented in this novel control framework. This new control algorithm consists of a high-gain observer (HGO)-based adaptive backstepping integral sliding mode control (ISMC) and a barrier Lyapunov function (BLF). This guarantees satisfying the constraints on the states and effectively resolves the problem of the unavailability of the system states. The proposed control law based on the BLF has been compared with an adaptive backstepping ISMC to show the efficiency of the output-constraint control scheme. Through MATLAB/SIMULINK numerical simulations and their numeric error table, the effectiveness of the proposed control scheme has been examined. The results confirm the validity and efficiency of the proposed control approaches.

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Improvement of the Non-linear Control Strategy of a Wind Turbine by a High-Gain Observer

Loulijat

Ababssi

Mohamed

2021

Digital Technologies and Applications

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DFIG-Based Wind Turbine Control Using High-Gain Observer

Cited by 8 publications

References 11 publications

Visualizing the Maximum Energy Zone of Wind Turbines Operating at Time-Varying Wind Speeds

Visualizing the Maximum Energy Zone of Wind Turbines Operating at Time-Varying Wind Speeds

Adaptive Backstepping Integral Sliding Mode Control for 5DOF Barge-Type OFWT under Output Constraint

Improvement of the Non-linear Control Strategy of a Wind Turbine by a High-Gain Observer

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