Robust Control of a Permanent Magnet Synchronous Generators based Wind Energy Conversion

Delavari, Hadi; Veisi, Amir

doi:10.1109/iccia52082.2021.9403590

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Achieving a greater region of stability, removing the chattering effects, greater flexibility and more precision of system performances are some of the key advantages of this strategy. [28][29][30][31][32] In FOSMC it is assumed that the upper bound of uncertainty is completely known, but in practice it is not simple to define these bounds precisely. It is obvious that the adaptive control technique is one of the best effective approaches which has numerous attractive aspects, such as its compatibility with uncertainty in system parameters.…”

Section: Introductionmentioning

confidence: 99%

Adaptive optimized fractional order control of doubly‐fed induction generator (DFIG) based wind turbine using disturbance observer

Veisi

Delavari

2023

Env Prog and Sustain Energy

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Wind energy systems are pollution free and clean form of the renewable energy production. The dynamic model of a wind turbine system based on a doubly fed induction generator (DFIG) is exposed to external disturbances, uncertainties, and nonlinear dynamics. In this paper to ensure the system robustness against external disturbance and uncertainty in system parameters, a novel optimized fractional order robust adaptive sliding mode controller is proposed by utilizing a disturbance observer. The controller's main goal is to track the maximum power point of the wind turbine. In order to show the superiority of the proposed method, the results under normal conditions and in the presence of disturbance and uncertainty have been compared with the classical sliding mode control (SMC) and adaptive sliding mode control (ASMC). The parameters of all three controllers have been optimized by ant colony optimization (ACO) algorithm. The proposed method does not need the knowledge of the upper bounds of model uncertainty and disturbance. Also by using the fractional order operators in the control signal of the proposed method, its robustness against model uncertainty and disturbance is increased and it can extract the maximum power than the other compared methods.

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Section: Introductionmentioning

confidence: 99%

Adaptive optimized fractional order control of doubly‐fed induction generator (DFIG) based wind turbine using disturbance observer

Veisi

Delavari

2023

Env Prog and Sustain Energy

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“…Multichannel machines are investigated in various areas such as aviation (More Electric Aircraft-MEA) [1][2][3], the automotive industry (Electric Vehicles-EVs) [4][5][6], the marine industry [7], renewable energy resources (RESs) [8][9][10][11][12], and military applications [2]. In the literature, the MEA concept is the most popular in regard to multichannel machines.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic Performance Analysis of a Multichannel Permanent Magnet Synchronous Generator

Korkosz,

Sztajmec,

Prokop

2023

Energies

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In this paper, we present an analysis of the properties of the prototype three-phase Multichannel Permanent Magnet Synchronous Generator (MCPMSG) prototype designed and constructed by the authors. Each channel of the generator has electrically separated windings, which allows us to create an island system of electricity generation. The analyzed MCPMSG is intended for critical applications, and it is designed for four-channel operation. The purpose of this work is to analyze various configurations of the generator channels to improve the redundancy of the electricity generation system. The MCPMSG operation with one or two independent sources of energy consumption in the case of a dual-channel or double dual-channel operation was investigated. For the analyzed cases, the original mathematical models of the three-phase MCPMSG were developed. On the basis of numerical and laboratory tests, the influence of individual configurations on the MCPMSG output parameters was determined. An original method for diagnosing the operation of the MCPMSG channels was developed. Numerical and laboratory tests of the proposed diagnostic method based on a single voltage signal were carried out. As part of the laboratory tests, selected operating states under conditions of full winding symmetry and internal asymmetry were analyzed. The advantage of the proposed diagnostic method is the control of the operating state of the channels both under load and in the de-energized state. The proposed diagnostic method for control of the individual channel requires measurement of only one voltage signal.

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“…Xu et al [26] proposed a sliding mode direct thrust control strategy for the speed control of a liner induction machine. Delavari and Veisi [27] proposed a fractional-order sliding mode controller for the speed control of wind generators. Benbouhenni and Bizon [28] proposed a super-twisting algorithm-based third-order sliding mode control technique for the flux and torque control of induction motors used in wind turbines.…”

Section: Introductionmentioning

confidence: 99%

Direct Torque Control of an Induction Motor Using Fractional-Order Sliding Mode Control Technique for Quick Response and Reduced Torque Ripple

Gudey¹,

Malla²,

Jasthi³

et al. 2023

WEVJ

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The performance of electric drive propulsion systems is often degraded by the high torque and flux ripples of an electric drive. Traditional control methods, such as proportional plus integral (PI) controllers and classical sliding mode controllers (SMCs), have shown good response and reduced torque ripple, but even lower ripple content at low voltage levels is required for its effective use in electric vehicle (EV) applications. In this paper, a new direct torque control (DTC) technique with space vector pulse width modulation (SVPWM) using fractional-order sliding mode control (FOSMC) for a two-level inverter (2LI) at constant switching frequency is proposed. The effectiveness of this proposed controller is compared with a conventional proportional-integral controller and a conventional sliding mode controller (SMC). Simulink models are developed using MATLAB version R2018a to analyze the robustness of the proposed control strategy. Simulation results demonstrate the advantage of the proposed controller in reducing the torque ripples at steady state with less settling time during sudden load change conditions. The proposed control technique also demonstrates better utilization of the stator flux through flux trajectory waveforms.

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Robust Control of a Permanent Magnet Synchronous Generators based Wind Energy Conversion

Cited by 6 publications

References 9 publications

Adaptive optimized fractional order control of doubly‐fed induction generator (DFIG) based wind turbine using disturbance observer

Adaptive optimized fractional order control of doubly‐fed induction generator (DFIG) based wind turbine using disturbance observer

Electromagnetic Performance Analysis of a Multichannel Permanent Magnet Synchronous Generator

Direct Torque Control of an Induction Motor Using Fractional-Order Sliding Mode Control Technique for Quick Response and Reduced Torque Ripple

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