Second‐order sliding mode control for power optimisation of DFIG‐based variable speed wind turbine

Liu, Xiangjie; Han, Yaozhen; Wang, Yuming

doi:10.1049/iet-rpg.2015.0403

Cited by 73 publications

(46 citation statements)

References 33 publications

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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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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

Self Cite

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“…where C p (λ, β) represents the wind turbine power conversion efficiency, used to characterize the efficiency of the wind turbine converting wind energy to mechanical energy, which is associated with tip speed ratio λ and pitch angle β, and is defined as [2]:…”

Section: Wind Turbine Modelmentioning

confidence: 99%

“…and c 1 = 0.5176, c 2 = 116, c 3 = 0.40, c 4 = 5.0, c 5 = 21.0, c 6 = 0.0068 [2]. The values of coefficients c 1 to c 6 depend on the specific environment, the turbine blade shape profile and its aerodynamic performance.…”

Section: Wind Turbine Modelmentioning

confidence: 99%

“…Various control methods such as robust control, adaptive control, back stepping control, sliding mode control, model predictive control and so on have been proposed and studied [1][2][3][4][5]. Among these methods, sliding mode control has been proven to be robust with respect to system parameter variations and external disturbances, and it can quickly converge to the control target.…”

Section: Introductionmentioning

confidence: 99%

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Variable Speed Control of Wind Turbines Based on the Quasi-Continuous High-Order Sliding Mode Method

et al. 2017

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Abstract:The characteristics of wind turbine systems such as nonlinearity, uncertainty and strong coupling, as well as external interference, present great challenges in wind turbine controller design. In this paper, a quasi-continuous high-order sliding mode method is used to design controllers due to its strong robustness to external disturbances, unmodeled dynamics and parameter uncertainties. It can also effectively suppress the chattering toward which the traditional sliding mode control method is ineffective. In this study, the strategy of designing speed controllers based on the quasi-continuous high order sliding mode method is proposed to ensure the wind turbine works well in different wind modes. First, the plant model of the variable speed control system is built as a linearized model; and then a second order speed controller is designed for the model and its stability is proved. Finally, the designed controller is applied to wind turbine pitch control. Based on the simulation results from a simulation of 1200 s which contains almost all wind speed modes, it is shown that the pitch angle can be rapidly adjusted according to wind speed change by the designed controller. Hence, the output power is maintained at the rated value corresponding to the wind speed. In addition, the robustness of the system is verified. Meanwhile, the chattering is found to be effectively suppressed.

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“…In [32], a sliding mode approach incorporating the feedback linearization theory is proposed to maintain the converter currents when the grid voltage level is far below the nominal values. The approach proposed in [33] successfully regulates the converter current when the grid voltage decreases to avoid converter damage.…”

mentioning

confidence: 99%

Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

Xiong

et al. 2017

Energies

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This paper proposes a novel sliding mode control (SMC) technique for doubly fed induction generators (DFIGs) based on the fast exponential reaching law (FERL). The proposed FERL-based SMC is capable of reducing to a large extent the chattering phenomena existing in the sliding stage. Meanwhile, the reaching stage is accelerated with the introduction of an adaptive gain. The proposed method is employed in a DFIG-based wind energy conversion system (WECS) for direct power control (DPC). The FERL-based DPC approach is tested with simulations conducted in Matlab/Simulink under the scenarios of unbalanced grid voltage, grid fault conditions and highly unstable wind speed accompanied by an experimental study. The simulations and experimental results reveal the better performance of the proposed control method in active/reactive power tracking and dc-link voltage maintenance.

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Second‐order sliding mode control for power optimisation of DFIG‐based variable speed wind turbine

Cited by 73 publications

References 33 publications

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

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

Variable Speed Control of Wind Turbines Based on the Quasi-Continuous High-Order Sliding Mode Method

Sliding Mode Control of DFIG Wind Turbines with a Fast Exponential Reaching Law

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