Sliding mode control design of wind power generation system based on permanent magnet synchronous generator

Laabidine, Nada Zine; Errarhout, Afrae; Bakkali, Chakib El; Karim, Mohammed; Bossoufi, Badre

doi:10.11591/ijpeds.v12.i1.pp393-403

Cited by 9 publications

(7 citation statements)

References 16 publications

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“…By applying the Hybrid Sliding-Backstepping Mode control to the Rotor Side Converter, the global equation of the and control takes the following forms 47 , 48 :…”

Section: Non-linear Control Of the Wecs Based On The Dfigmentioning

confidence: 99%

Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Sci Rep

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This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations), which reduces the system's precision. We propose in this work a solution to cancel this chattering phenomenon by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power is significant. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on the Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work, either by follow-up or robustness tests, show a significant performance improvement compared to other control techniques.

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“…By applying the Hybrid Sliding-Backstepping Mode control to the Rotor Side Converter, the global equation of the and control takes the following forms 47 , 48 :…”

Section: Non-linear Control Of the Wecs Based On The Dfigmentioning

confidence: 99%

Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…By applying the Hybrid Sliding-Backstepping Mode control to the Rotor Side Converter, the global equation of the V and "V control takes the following forms [48], [49]:…”

Section: Application Of the Hybrid Control To The Rscmentioning

confidence: 99%

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Echiheb

Ihedrane

Bossoufi

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems, and the improvement of the quality of energy produced in the grid. The use of the Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations) which reduces the precision of the system. we propose in this work a solution to cancel this chattering phenomenon, by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power are very important. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work either by follow-up or robustness tests show a great improvement in terms of performance compared to other control techniques.

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“…( 22), by taking into account that the voltage vectors ( 𝑉 𝑑𝑞,12 ) are the control entrance, and the errors (𝑒 𝑑𝑞,12 ) are the state-variables: Similar to the development from Eqs. (13)(14)(15)(16)(17)(18), the equivalent control law of the extracted 5-phase current is designated like:…”

Section: Composition Of the Current Fractional-order Sliding Mode Con...mentioning

confidence: 99%

“…In response, another solution to deliver the required rate of effectiveness is the sliding mode techniques [16], that can handle the difficulties of the above-mentioned strategies, including the case of dynamic uncertainties and disturbances presence.…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Generation Control of 5-Phase PMSG Based WECS by Using Enhanced Fuzzy Fractional Order SMC

2022

IJIES

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In this research, an intelligent fuzzy logic technique is embedded with robust fractional order sliding mode control that comprises fractional differentiation and integration enhancement technique, with a view to control a highpower five-phase Permanent Magnet Synchronous Generator (PMSG) based direct-driven wind turbine. At first, fractional sliding surface is created, and its control law is obtained. Then, fast reaching law is designed by using Fuzzy Logic Approach (FLC) to replace the discontinuity in the traditional non-derivable signum function of conventional Sliding Mode Control (SMC), with the aim to reduce the chattering phenomenon during the sliding phase, enhance dynamic operation, static performance, and improve the produced energy efficiency and robustness. The new proposed approach is evaluated by conducting comparative simulation and analysis with the classical SMC and PI controller from published works. The results disclose the great reliability, fantastic behaviour, and constancy of Fuzzy Fractional-Order Sliding Mode Control (FFOSMC), and the efficiency of the wind turbine is upgraded to 97.2 %, with a favourable tracking performance, although the external conditions, compared to the classical PI technique that can only provide 86.2 % of efficacy.

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Sliding mode control design of wind power generation system based on permanent magnet synchronous generator

Cited by 9 publications

References 16 publications

Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

Robust Sliding-Backstepping Mode Control of a wind system based on the DFIG Generator

Optimal Power Generation Control of 5-Phase PMSG Based WECS by Using Enhanced Fuzzy Fractional Order SMC

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