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

Sun, Hongchang; Han, Yaozhen; Zhang, Lvyuan

doi:10.1155/2018/5342971

Cited by 9 publications

(5 citation statements)

References 26 publications

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“…To reduce chattering, several methods are introduced. One of the attractive chattering-free sliding modes is high order sliding mode (HOSM) [14,15]. But the main problem in the implementation of HOSM algorithms is the increasing information demand.…”

Section: Introductionmentioning

confidence: 99%

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

2019

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In recent years, the complexities of wind turbine control are raised while implementing grid codes in voltage sag conditions. In fact, wind turbines should stay connected to the grid and inject reactive power according to the new grid codes. Accordingly, this paper presents a new control algorithm based on super-twisting sliding mode for a gearless wind turbine by a permanent magnet synchronous generator (PMSG). The PMSG is connected to the grid via the back-to-back converter. In the proposed method, the machine side converter regulates the DC-link voltage. This strategy improves low-voltage ride through (LVRT) capability. In addition, the grid side inverter provides the maximum power point tracking (MPPT) control. It should be noted that the super-twisting sliding mode (STSM) control is implemented to effectively deal with nonlinear relationship between DC-link voltage and the input control signal. The main features of the designed controller are being chattering-free and its robustness against external disturbances such as grid fault conditions. Simulations are performed on the MATLAB/Simulink platform. This controller is compared with Proportional-Integral (PI) and the first-order sliding mode (FOSM) controllers to illustrate the DC-link voltage regulation capability in the normal and grid fault conditions. Then, to show the MPPT implementation of the proposed controller, wind speed is changed with time. The simulation results show designed STSM controller better performance and robustness under different conditions.

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Section: Introductionmentioning

confidence: 99%

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

2019

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“…Several ways are introduced to reduce chattering. High order sliding mode (HOSM) [40] is one of the attractive chattering-free sliding modes. However, the fundamental issue in implementing the HOSM algorithm's complexity.…”

Section: Sliding Mode Controller Designmentioning

confidence: 99%

Permanent Magnet Synchronous Generator Connected to a Grid via a High Speed Sliding Mode Control

Tola

Umoh

Yahaya

et al. 2022

IJRCS

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Wind power generation has recently received a lot of attention in terms of generating electricity, and it has emerged as one of the most important sources of alternative energy. Maximum power generation from a wind energy conversion system (WECS) necessitates accurate estimation of aerodynamic torque and system uncertainties. Regulating the wind energy conversion system (WECS) under varying wind speeds and improving the quality of electrical power delivered to the grid has become a difficult issue in recent years. A permanent magnet synchronous generator (PMSG) is used in the grid-connected wind-turbine system under investigation, followed by back-to-back bidirectional converters. The machine-side converter (MSC) controls the PMSG speed, while the grid-side converter (GSC) controls the DC bus voltage and maintains the unity power factor. The control approach is second-order sliding mode controls, which are used to regulate a nonlinear wind energy conversion system while reducing chattering, which causes mechanical wear when using first-order sliding mode controls. The sliding mode control is created using the modified super-twisting method. Both the power and control components are built and simulated in the same MATLAB/Simulink environment. The study successfully decreased the chattering effect caused by the switching gain owing to the high activity of the control input.

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“…Ω and are rotational speed and torque developed by the turbine at the blade side of the gearbox while Ω and are the machine side shaft speed and mechanical torque, respectively. is computed by combining (1) and 3…”

Section: Pmsg Wecs Modelingmentioning

confidence: 99%

“…The exploitation of renewable energy sources has been intensified so as to tackle the growing energy demand with reduced environmental impact. Wind energy source, as a sustainable and renewable resource, has gained more interest for electrical power generation [1]. Wind energy conversion systems (WECSs) can be divided into two categories: fixed speed and variable speed.…”

Section: Introductionmentioning

confidence: 99%

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

Douanla

Kenné

Pelap

et al. 2018

Journal of Control Science and Engineering

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A modified control scheme based on the combination of online trained neural network and sliding mode techniques is proposed to enhance maximum power extraction for a grid connected permanent magnet synchronous generator (PMSG) wind turbine system. The proposed control method does not need the knowledge of the uncertainty bounds nor the exact model of the nonlinear system. Since the neural network is trained online, the time to estimate good weights can affect the dynamic performance of the process during the startup phase. Therefore an appropriate way to smoothly and explicitly accelerate the neural network rate of convergence during the startup phase is proposed. Furthermore, a flexible grid side voltage source converter control structure which can handle both grid connected and standalone modes based on conventional proportional integral (PI) control method is presented. Simulations are done in Matlab/Simulink environment to verify the effectiveness and assess the performance of the proposed controller. The results analysis shows the superiority of the proposed RBF neuro-sliding mode controller compared to a nonlinear controller based on sliding mode control method when the system undergoes parameter uncertainties.

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

Cited by 9 publications

References 26 publications

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

Super‐Twisting Sliding Mode Control for Gearless PMSG‐Based Wind Turbine

Permanent Magnet Synchronous Generator Connected to a Grid via a High Speed Sliding Mode Control

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System

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