Enhanced Performance in PMSG-Based Wind Turbine Systems: Experimental Validation of Adaptive Backstepping Control Design

Youness El Mourabit, Hassna Salime, Badre Bossoufi (), Saad Motahhir, Aziz Derouich, Saleh Mobayen () and Anton Zhilenkov
Additional contact information
Youness El Mourabit: National School of Applied Sciences, Abdelmalek Essaadi University, Tetouan 93000, Morocco
Hassna Salime: LISTA Laboratory, Faculty of Science Dhar El Mahraz-USMBA, Fez 30000, Morocco
Badre Bossoufi: LISTA Laboratory, Faculty of Science Dhar El Mahraz-USMBA, Fez 30000, Morocco
Saad Motahhir: Engineering, Systems and Applications Laboratory, ENSA, USMBA, Fez 30000, Morocco
Aziz Derouich: Industrial Technologies and Services Laboratory, Higher School of Technology, Sidi Mohamed Ben Abdellah University, Fez 30000, Morocco
Saleh Mobayen: Graduate School of Intelligent Data Science, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 640301, Taiwan
Anton Zhilenkov: Department of Cyber-Physical Systems, St. Petersburg State Marine Technical University, 190121 Saint-Petersburg, Russia

Energies, 2023, vol. 16, issue 22, 1-28

Abstract: Ensuring the quality and stability of the electrical grid is of utmost importance during the phase of electrical energy production. As wind energy plays an increasingly significant role in a country’s energy composition, maintaining stability and optimal quality has emerged as a prerequisite for the generated electricity. This article aims to devise a dynamic nonlinear algorithm that can be implemented in the wind energy conversion system (WECS) featuring a direct-drive permanent magnet synchronous generator (PMSG). Notably, the adaptive backstepping control relies on the nonlinear model of the controlled system. It harnesses the principles of the Lyapunov stability theory to regulate various parameters and uphold the overall system’s stability. Employing simulation analysis through the Matlab–Simulink environment, the proposed control strategy is evaluated using a 1.5 MW wind turbine. The results showcase the robust capability of the suggested control algorithm: it effectively maintains the DC bus voltage and produces high-quality electrical energy with a total harmonic distortion (THD) below 0.38%. Moreover, the algorithm demonstrates added resilience. The practical viability of the adaptive control algorithm is validated through an experimental study on the dSPACE DS1104 prototyping platform. This study underscores the algorithm’s proficiency in achieving all control objectives under diverse wind scenarios.

Keywords: WECS; PMSG; Adaptive Backstepping Control; Lyapunov theory; THD; dSPACE DS1104 prototyping platform (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/22/7481/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/22/7481/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:22:p:7481-:d:1275813

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().