Multivariable 2-sliding mode control for a wind energy system based on a double fed induction generator

Evangelista, Carolina Alejandra; Valenciaga, Fernando; Puleston, Pablo Federico

doi:10.1016/j.ijhydene.2011.12.080

Cited by 34 publications

(10 citation statements)

References 5 publications

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“…The steady-state equivalent circuit of each phase of DFIG, including phase voltage and magnetic loss of the rotor, are shown in Fig. 5 (Evangelista et al 2012;Kamarzarrin 2015;Leonhard 1996).…”

Section: Generator Modelmentioning

confidence: 99%

“…The active power and reactive power of a stator can be formulated using the voltage and current stator in the general reference form as (20) and (21) (Evangelista et al 2012;Leonhard 1996). Overall view of the wind turbine control system (Kayikci 2007) The equation of the rotor voltage in the form of the excitation is as follows (Evangelista et al 2012):…”

Section: Generator Modelmentioning

confidence: 99%

See 1 more Smart Citation

Intelligent Sliding Mode Adaptive Controller Design for Wind Turbine Pitch Control System Using PSO-SVM in Presence of Disturbance

Kamarzarrin

Refan

2020

J Control Autom Electr Syst

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Today, the generated electrical energy using renewable energy is rapidly growing all over the world. The speed and direction of the wind are fundamental parameters affecting on power production of wind turbine that is constantly changing. One of the methods for controlling wind turbine power is changing the angle of the blades. In this paper, an adaptive control method has been used to control the wind turbine pitch angle. The proposed method is based on sliding mode control, whose coefficients have been calculated using the particle swarm optimization-support vector machine method. In order to evaluate the effectiveness of the proposed method, it has been compared with the Model Reference Adaptive Controller (MRAC) in the operating under disturbance. The results show that the proposed controller has a better performance than that of the MRAC in the presence of disturbance. Simulations show that the produced power at different wind velocities has reached its optimum value faster.

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Section: Generator Modelmentioning

confidence: 99%

Section: Generator Modelmentioning

confidence: 99%

Intelligent Sliding Mode Adaptive Controller Design for Wind Turbine Pitch Control System Using PSO-SVM in Presence of Disturbance

Kamarzarrin

Refan

2020

J Control Autom Electr Syst

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“…Super-twisting algorithm, called higher-order sliding mode of the second order, has been adopted to achieve maximum wind power tracking and reactive power regulation [14][15][16][17][18][19]. However, control gains for these schemes cannot be real-time adjusted along with variation of system uncertainty.…”

Section: Journal Of Control Science and Engineeringmentioning

confidence: 99%

Maximum Wind Power Tracking of Doubly Fed Wind Turbine System Based on Adaptive Gain Second-Order Sliding Mode

Sun

Han

Zhang³

2018

Journal of Control Science and Engineering

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This paper proposes an adaptive gain second-order sliding mode control strategy to track optimal electromagnetic torque and regulate reactive power of doubly fed wind turbine system. Firstly, wind turbine aerodynamic characteristics and doubly fed induction generator (DFIG) modeling are presented. Then, electromagnetic torque error and reactive power error are chosen as sliding variables, and fixed gain super-twisting sliding mode control scheme is designed. Considering that uncertainty upper bound is unknown and is hard to be estimated in actual doubly fed wind turbine system, a gain scheduled law is proposed to compel control parameters variation according to uncertainty upper bound real-time. Adaptive gain second-order sliding mode rotor voltage control method is constructed in detail and finite time stability of doubly fed wind turbine control system is strictly proved. The superiority and robustness of the proposed control scheme are finally evaluated on a 1.5 MW DFIG wind turbine system.

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“…A solution to this problem is a high order sliding mode technique. This control technique maintains the same sliding mode properties with the advantage of eliminating the chattering problem due to the continuous-time nature of the control action [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Second-Order Sliding Mode Control for Variable Speed Wind Turbine Experiment System

Merabet¹,

Islam²,

Beguenane³

et al. 2024

RE&PQJ

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In this work, a second-order sliding mode control algorithm is proposed for variable speed laboratory size DC generator wind turbine experiment system in order to track a speed profile and operate the wind turbine at maximum power extraction. The turbine torque, which varies with the wind speed, is considered as an unknown disturbance and rejected by the sliding mode strategy. The sliding mode controller has been integrated into a multivariable control system to operate the experimental wind turbine. Experimental results show that the proposed control system can achieve favourable speed tracking performance and robust with regard to parameter variations and external turbine disturbance.

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Multivariable 2-sliding mode control for a wind energy system based on a double fed induction generator

Cited by 34 publications

References 5 publications

Intelligent Sliding Mode Adaptive Controller Design for Wind Turbine Pitch Control System Using PSO-SVM in Presence of Disturbance

Intelligent Sliding Mode Adaptive Controller Design for Wind Turbine Pitch Control System Using PSO-SVM in Presence of Disturbance

Maximum Wind Power Tracking of Doubly Fed Wind Turbine System Based on Adaptive Gain Second-Order Sliding Mode

Second-Order Sliding Mode Control for Variable Speed Wind Turbine Experiment System

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