A Robust Nonlinear Controller for PMSG Wind Turbines

Hawkins, Nicholas; McIntyre, Michael L.

doi:10.3390/en14040954

Cited by 4 publications

(3 citation statements)

References 34 publications

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“…Francoise et al [ 21 ] carried out an adaptive MPPT scheme while using variable wind speed to a PMSG, which is further attached to a battery charging station. Nicholas et al in [ 22 ] investigate the performance of a full-variable wind turbine that a nonlinear backstepping controller controlled. Lyapunov analysis shows that this controller is stable while achieving the desired generator rotational speed.…”

Section: Introductionmentioning

confidence: 99%

High gain differentiator based neuro-adaptive arbitrary order sliding mode control design for MPE of standalone wind power system

Ali,

Khan,

Ullah

et al. 2024

PLoS ONE

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In this paper, we introduce a novel Maximum Power Point Tracking (MPPT) controller for standalone Wind Energy Conversion Systems (WECS) with Permanent Magnet Synchronous Generators (PMSG). The primary novelty of our controller lies in its implementation of an Arbitrary Order Sliding Mode Control (AOSMC) to effectively overcome the challenges caused by the measurement noise in the system. The considered model is transformed into a control-convenient input-output form. Additionally, we enhance the control methodology by simultaneously incorporating Feedforward Neural Networks (FFNN) and a high-gain differentiator (HGO), further improving the system performance. The FFNN estimates critical nonlinear functions, such as the drift term and input channel, whereas the HGO estimates higher derivatives of the system outputs, which are subsequently fed back to the control inputs. HGO reduces sensor noise sensitivity, rendering the control law more practical. To validate the proposed novel control technique, we conduct comprehensive simulation experiments compared against established literature results in a MATLAB environment, confirming its exceptional effectiveness in maximizing power extraction in standalone wind energy applications.

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Section: Introductionmentioning

confidence: 99%

High gain differentiator based neuro-adaptive arbitrary order sliding mode control design for MPE of standalone wind power system

Ali,

Khan,

Ullah

et al. 2024

PLoS ONE

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“…In [4,5], it is established that STATCOM, dynamic voltage restorers (DVRs), and the static VAR compensators are capable of improving the FRT potential of WECS. In [6], a non-linear controller is incorporated with the grid side converter (GSC) controller that limits the current rise within the safe value and also the power transfer to the grid. In [7], the use of a controlled, but static, braking resistor is presented.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Control of Wind Energy Conversion System during Unsymmetrical Fault at Grid

Ahuja

Singh²,

Sharma

et al. 2022

Energies

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High penetration of wind power into the grid necessitates the coordinated action of wind energy conversion systems and the grid. A suitable generation control is required to fulfill the grid integration requirements, especially during faults. A system using a pair of voltage source converters with a squirrel cage induction generator coupled to a wind turbine is proposed to provide fault ride-through during grid faults. A threefold action is used for providing the effective fault ride-through via coordinated action of the machine side and the grid side converter. The entire wind energy conversion system is controlled such that the wind turbine remains connected even during the faults. To implement the threefold action: (i) A decoupled current controller is placed in the grid side converter, which separately controls the positive and negative sequence currents arising during faults. The grid side converter controller is capable of eliminating the double frequency oscillations at the dc-link voltage and, hence, real power, which arises during the unsymmetrical faults; (ii) Reactive power injection is additionally provided by the grid side converter for better grid support; and (iii) The vector control technique is used in machine side converter along with the droop control to adjust the generator speed and the torque resulting in actuation of the pitch control mechanism to limit power generation without shutdown of the turbine.

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“…In the existing literature, robust controllers have been developed and studied for extracting maximum power P max from the wind (Aboudrar et al, 2019;Syahputra and Soesanti, 2019;Cheikh et al, 2020;Saidi et al, 2020;Khan et al, 2021;Alam et al, 2022;Khan et al, 2022;Chand et al, 2023). Some studies have focused on reactive power and maximum inverter power extraction without wind speed sensors (Abdullah et al, 2012), whereas others have explored adaptive MPPT schemes and improved control techniques for grid-connected wind turbines (Jaramillo-Lopez et al, 2016;Pan and Shao, 2020;Hawkins and McIntyre, 2021). Furthermore, numerous other MPPT control approaches have been developed for wind energy systems, enhancing their efficiency and reliability (Chu et al, 2014).…”

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confidence: 99%

Robust finite-time integral terminal sliding mode control design for maximum power extraction of PMSG-based standalone wind energy system

Hua,

Ali,

Ullah

et al. 2023

Front. Energy Res.

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This paper introduces a novel control strategy called Finite-time Integral Terminal Sliding Mode Control (FITSMC), explicitly designed for a permanent-magnet synchronous generator (PMSG)-based standalone Wind Energy Conversion System (WECS). The primary objective of the FITSMC strategy is to regulate the operation of the wind turbine efficiently and maximize power extraction from the WECS. To achieve this, the system is driven onto a sliding surface within a predefined terminal time, ensuring rapid convergence and overall stability. An important advantage of the FITSMC strategy is its ability to maintain a standalone wind power system close to the maximum power point, even under varying wind conditions and load changes. In addition, the controller demonstrates robustness against uncertainties and disturbances, making it highly suitable for real-world applications. Extensive simulations and analyses have been conducted to validate the effectiveness of the proposed FITSMC. The results show a superior control performance compared to traditional methods. Consequently, the FITSMC strategy represents a promising advancement in control techniques for standalone wind power systems, providing an efficient and reliable approach for harnessing power from wind energy.

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A Robust Nonlinear Controller for PMSG Wind Turbines

Cited by 4 publications

References 34 publications

High gain differentiator based neuro-adaptive arbitrary order sliding mode control design for MPE of standalone wind power system

High gain differentiator based neuro-adaptive arbitrary order sliding mode control design for MPE of standalone wind power system

Coordinated Control of Wind Energy Conversion System during Unsymmetrical Fault at Grid

Robust finite-time integral terminal sliding mode control design for maximum power extraction of PMSG-based standalone wind energy system

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