High order sliding mode control of permanent magnet synchronous generator-based wind energy conversion systems

Gu, Patrick; Wang, Xin; Reitz, Max

doi:10.1109/ecce.2016.7855409

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…We assumed a system with relative degree such as, [15]: (6) It is implied that: Are positive constants.…”

Section: Super-twisting Algorithmmentioning

confidence: 99%

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DPC- SVM of DFIG Using Fuzzy Second Order Sliding Mode Approach

2021

ijSmartGrid

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Conventional controller's methods, based on PI regulators, used as a direct power control (DPC) of the double feed induction generator (DFIG) are not robust enough in the face of parametric uncertainties and strong ripple of the powers. From the best evoked control techniques presented in this field to overcome these drawbacks, we will study some improvement variants such as the use of the second order sliding mode control (SOSMC) developed on the basis of the super twisting torsion algorithm (STA) associated with the fuzzy logic control to obtain (FSOSMC) in order to obtain acceptable performance. Finally, the effectiveness of the planned control system is studied using Matlab/Simulink. The proposed method reduces power ripples, improves driving dynamics by making it less sensitive to parameter uncertainty.

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“…We assumed a system with relative degree such as, [15]: (6) It is implied that: Are positive constants.…”

Section: Super-twisting Algorithmmentioning

confidence: 99%

“…The algorithm (SOSMC), overcomes some disadvantage of the classical SMC, [13][14][15][16]. This reduces undulations, known as chattering; it can damage the actuators by too frequent oscillations and adversely affect the operation and performance of the system, [20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

DPC- SVM of DFIG Using Fuzzy Second Order Sliding Mode Approach

2021

ijSmartGrid

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“…Furthermore, these controllers may provide insufficient performance for different operating points. Therefore, papers have presented different control schemes like SMC [10][11][12], HOSMC [13][14][15], advance control techniques [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Adaptive Control for Wind Turbine Under Wind Speed Variation

Bensaber

Benghanem

bensaber

et al. 2018

IJRA

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<span>Wind turbines components work as nonlinear systems where electromechanical parameters change frequently [1], which makes nonlinear control an interesting solution to prevail good efficiency. SMC has been largely used in electrical power applications because it offers interesting features like robustness to parametric uncertainties and external disturbances, to conquer the biggest drawback of the SMC, adaptation strategy consists on updating the sliding gain and the turbine torque to contribute with some important characteristics such as chatter-free performance, heftiness, robustness and secure power system operation. Matlab tests are introduced and compared.</span>

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Incorporation of Nonlinear Control and SOSM Controller with Improved PSO Algorithm for OEWIM Fed by SVM Seven-Level Dual Inverter

Ladjel,

Dendouga

2024

Arab J Sci Eng

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High order sliding mode control of permanent magnet synchronous generator-based wind energy conversion systems

Cited by 5 publications

References 23 publications

DPC- SVM of DFIG Using Fuzzy Second Order Sliding Mode Approach

DPC- SVM of DFIG Using Fuzzy Second Order Sliding Mode Approach

Nonlinear Adaptive Control for Wind Turbine Under Wind Speed Variation

Incorporation of Nonlinear Control and SOSM Controller with Improved PSO Algorithm for OEWIM Fed by SVM Seven-Level Dual Inverter

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