Design and real time implementation of sliding mode supervised fractional controller for wind energy conversion system under sever working conditions

“…If the controller is not used, then the wind turbine will stall under high wind speed. Various controllers are used such as PI and derivative (PID), fuzzy, neural, sliding mode [62], adaptive, integrated and individual controller.…”

Section: Control Techniques In Wecsmentioning

confidence: 99%

Review on control techniques and methodologies for maximum power extraction from wind energy systems

Kumar

Saravanan

Padmanaban

et al. 2018

IET Renewable Power Generation

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This review study focuses on various methods and technologies used in past and present for obtaining maximum output power from a wind energy conversion system. There are plenty of solution for maximum power point (MPP), but the problem lies in the effective choice made among them and it needs the expert knowledge on every technique for picking up the best MPP method as every method on its own has some advantages and disadvantages. A comparison has been made among various MPP methods in terms of convergence time, efficiency, training, complexity and wind measurement. Here, different MPP tracking (MPPT) algorithms are classified based on wind speed measurement (WSR) and without WSR models. In this study, from the literature, a novel maximum electrical power tracking (MEPT) and maximum mechanical power tracking (MMPT) methods are compared with state-of-the-art MPPT algorithms. On basis of the results obtained from the literature available, the MEPT algorithm has fast convergence rate of 15 ms; on the other hand, optimal relation-based method is having large convergence rate of 364 ms and less efficient. A case study has been considered for performance validation, and MEPT and MMPT are having a good response for dynamic variation in wind speed.

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“…Sliding Mode Control (SMC) has recently been considered in designing controllers for the series voltage source converters of wind turbine energy systems 5‐9 . Using the SMC concept, controllers are designed to drive and then constrain the system states to lie in a set of prescribed switching manifolds.…”

Section: Introductionmentioning

confidence: 99%

Design of a chattering‐free integral terminal sliding mode approach for DFIG‐based wind energy systems

Morshed

Fekih

2020

Optim Control Appl Methods

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Summary This article proposes a Fuzzy Second Order Integral Terminal Sliding Mode (FSOITSM) control approach for DFIG‐based wind turbines subject to grid faults and parameter variations. Since traditional terminal sliding mode control (SMC) suffers from singularity, a novel integral terminal sliding manifold is proposed to eliminate chattering and improve the wind turbine's performance in the presence of faults and disturbances. A fuzzy system is proposed to auto‐tune the controllers' gains and ensures the invariance of the sliding surfaces even under heavy uncertainties, thus further improving the reliability and performance of the proposed controller. The performance of the proposed approach was assessed under various operating conditions. A comparison analysis with a standard SMC approach as well as the state of the art in voltage sag mitigation was also carried over. Reliability, robustness, and power availability under faulty grid conditions are among the main features of the proposed approach. In addition, the proposed approach exhibited chattering free dynamics and enabled the finite time convergence of the sliding manifold and overcame the singularity problem associated with standard TSMC.

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Design and real time implementation of sliding mode supervised fractional controller for wind energy conversion system under sever working conditions

Cited by 28 publications

References 30 publications

Fractional-Fuzzy PID Control Approach of Photovoltaic-Wire Feeder System (PV-WFS): Simulation and HIL-Based Experimental Investigation

Fractional-Fuzzy PID Control Approach of Photovoltaic-Wire Feeder System (PV-WFS): Simulation and HIL-Based Experimental Investigation

Review on control techniques and methodologies for maximum power extraction from wind energy systems

Design of a chattering‐free integral terminal sliding mode approach for DFIG‐based wind energy systems

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