Control of the active and reactive powers of a permanent magnet synchronous generator using singular perturbations decouplage

Moutchou, Rania; Abbou, Ahmed; Hemeyine, Ahmed Vall

doi:10.1109/irec.2018.8362454

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…For a relative degree equal to one (r=1), the Super Twisting control law is as follows: Where Wi = kwr. The dynamic modelling of the permanent magnet synchronous generator rotating reference frame can be expressed as follows [13]:…”

Section: Application Of the Command To The Pmsgmentioning

confidence: 99%

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Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

Moutchou¹,

Abbou²,

Rhaili³

2021

IJIES

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This paper presents a modelling study and focuses on an advanced higher order slip mode control strategy (Super Twisting Algorithm) for a variable speed wind turbine based on a permanent magnet synchronous generator to capture the maximum possible wind power from the turbine while simultaneously reducing the effect of mechanical stress, powered by a voltage inverter and controlled by vector PWM technique. This paper presents first and second order sliding mode control schemes. On the other hand, a challenging matter of pure SMC of order one can be summed up in the produced chattering phenomenon. In this work, this issue has been mitigated by implementing a new control. The proposed control, characterized by a precision in the case of a continuation of a significant reduction of the interference phenomenon, successfully addresses the problems of essential non-linearity of wind turbine systems. This type of control strategy presents more advanced performances such as behaviour without chattering (no additional mechanical stress), excellent convergence time, robustness in relation to external disturbances (faults in the network) and to non-modelled dynamics (generator and turbine) which have been widely used in power system applications by first order sliding mode control. In particular, second-order sliding regime control algorithms will be applied to the PMSG to ensure excellent dynamic performance. The suggested control is compared to the proportional-integral controller and sliding mode control of order one. The results of simulations under turbulent wind speed and parameter variations show the efficiency, robustness and significantly improved performance of the proposed control approach to distinguish and track quickly (about 10ms depending on the shading pattern) and at the same time saving the main priorities of the sliding mode of order one by reducing the existing chatter. The systems performances were tested and compared using Matlab/Simulink Software.

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Section: Application Of the Command To The Pmsgmentioning

confidence: 99%

“…By taking into account the coefficients of stiffness and damping, the expression of the dynamics of the turbine is expressed by [13]:…”

mentioning

confidence: 99%

Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

Moutchou¹,

Abbou²,

Rhaili³

2021

IJIES

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“…Indeed, operating at variable speed allows the wind turbine to extract the maximal power from wind. Four types of generators can be used with the variable speed wind turbines; there is the squirrel cage induction generator (SCIG), the dual field induction generator (DFIG), the permanent magnet synchronous generator (PMSG), and the wound field synchronous generator (WFSG) [4,5].…”

Section: Introductionmentioning

confidence: 99%

A Robust Interval Type-2 Fuzzy Logic Controller for Variable Speed Wind Turbines Based on a Doubly Fed Induction Generator

et al. 2021

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This paper presents an implementation of a new robust control strategy based on an interval type-2 fuzzy logic controller (IT2-FLC) applied to the wind energy conversion system (WECS). The wind generator used was a variable speed wind turbine based on a doubly fed induction generator (DFIG). Fuzzy logic concepts have been applied with great success in many applications worldwide. So far, the vast majority of systems have used type-1 fuzzy logic controllers. However, T1-FLC cannot handle the high level of uncertainty in systems (complex and non-linear systems). The amount of uncertainty in a system could be reduced by using type-2 fuzzy logic since it offers better capabilities to handle linguistic uncertainties by modeling vagueness and unreliability of information. A new concept based on an interval type-2 fuzzy logic controller (IT-2 FLC) was developed because of its uncertainty management capabilities. Both these control strategies were designed and their performances compared for the purpose of showing the control most efficient in terms of reference tracking and robustness. We made a comparison between the performance of the type-1 fuzzy logic controller (T1-FLC) and interval type-2 fuzzy logic controller (IT2-FLC). The simulation results clearly manifest the height robustness of the interval type-2 fuzzy logic controller in comparison to the T1-FLC in terms of rise time, settling time, and overshoot value. The simulations were realized by MATLAB/Simulink software.

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Adaptive Fuzzy Logic Controller forMPPTControl inPMSGWind Turbine Generator

Moutchou

Abbou

Jabri

et al. 2022

Artificial Intelligence‐based Smart Power Systems

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Control of the active and reactive powers of a permanent magnet synchronous generator using singular perturbations decouplage

Cited by 3 publications

References 9 publications

Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

Super-Twisting Second-Order Sliding Mode Control of a Wind Turbine Coupled to a Permanent Magnet Synchronous Generator

A Robust Interval Type-2 Fuzzy Logic Controller for Variable Speed Wind Turbines Based on a Doubly Fed Induction Generator

Adaptive Fuzzy Logic Controller forMPPTControl inPMSGWind Turbine Generator

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