Analysis and synthesis of sliding mode control for large scale variable speed wind turbine for power optimization

Mérida, Jován; Aguilar, Luis T.; Dávila, Jorge

doi:10.1016/j.renene.2014.06.030

Cited by 115 publications

(65 citation statements)

References 21 publications

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“…Equation (1) is not continuous at least, then it can be converged to s (r) [19,20]. From Equations (3) and (4), the following solution exits in Filippov:…”

Section: High-order Sliding Model Controlmentioning

confidence: 99%

“…The algorithm is simple and reliable, and the generator torque chattering is small, thereby greatly improving the efficiency of wind energy conversion. Reference [19] proposed a continuous high-order sliding mode control method for nonlinear control of the variable speed wind turbine system, which is combined with the maximum power point tracking (MPPT) algorithm to ensure the optimal power output tracking, better system dynamic performance and strong robustness.…”

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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“…Equation (1) is not continuous at least, then it can be converged to s (r) [19,20]. From Equations (3) and (4), the following solution exits in Filippov:…”

Section: High-order Sliding Model Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2017

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show abstract

“…Based on wind speeds, wind turbine operations can be divided into three operating regions, as shown in Figure . In Region I, the wind speed is below the cut‐in wind speed and the power available from the wind is lower than the losses in the turbine system.…”

Section: Introductionmentioning

confidence: 99%

Fractional‐order back‐stepping sliding‐mode torque control for a wind energy conversion system

Talebi

Ganjefar

2018

Env Prog and Sustain Energy

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At below‐rated wind speeds, the main goal of a controller design is to maximize power coefficient and consequently captured power. Due to nonlinearities and uncertainties in wind turbine systems and rapid variations in the wind speed profiles, the need for more effective and robust controllers is inevitable. To optimize the captured power, the rotor angular speed must track the time variable reference value that requires fast reactions of the designed controller. In this article, an advanced controller called a back‐stepping sliding‐mode controller was proposed to improve the turbine efficiency at a below‐rated wind speed. The controller was designed based on the combination of the back‐stepping sliding mode approach and fractional order calculus. The stability of the proposed controller is analyzed using the Lyapunov stability criterion. Finally, numerical simulation results are presented and compared with integer order, back‐stepping sliding mode control to illustrate the effectiveness of the proposed method. The simulation results demonstrated that the proposed controller had a good transition response, a low tracking error, and a very fast reaction against rapid variations in the wind speed in comparison to the back‐stepping sliding mode controller. © 2018 American Institute of Chemical Engineers Environ Prog, 38:e13110, 2019

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“…The suggested controllers were compared with existing control approaches and their efficiency was validated by a FAST model according to the Controls Advanced Research Turbine (CART). The controllers displayed a good efficiency in terms of energy extraction and load decrease [10]. Oh et al indicated implementation of a torque and a collective pitch controller in a simulator of wind turbine to describe the dynamics at three control areas.…”

Section: Introductionmentioning

confidence: 99%

A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and GSA evolutionary algorithm

Assareh

Biglari

2015

Renewable and Sustainable Energy Reviews

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Analysis and synthesis of sliding mode control for large scale variable speed wind turbine for power optimization

Cited by 115 publications

References 21 publications

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

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

Fractional‐order back‐stepping sliding‐mode torque control for a wind energy conversion system

A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and GSA evolutionary algorithm

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