Articles producció científicaEnginyeria Electrònica, Elèctrica i Automàtica

High-Gain Observer-Based Advanced Nonlinear Control of a Grid-Connected Wind Energy Conversion System with Sensorless Maximum Power Point Tracking

  • Datos identificativos

    Identificador:  imarina:9287661
    Autores:  Abouloifa, Abdelmajid; Noussi, Karim; Elbouchikhi, Elhoussin; Katir, Hanane; Lachkar, Ibtissam; El Aroudi, Abdelali
    Resumen:
    This paper deals with the control development of a wind energy conversion system (WECS) interfaced to a utility grid by using a doubly fed induction generator (DFIG), a back-to-back (B2B) converter and an RL filter for optimal power extraction. The aim was to design a sensorless controller to improve the system reliability and to simultaneously achieve the regulation of the generator speed, reactive power and DC-link voltage. The proposed global control scheme combines: (i) a high-gain observer employed to estimate the generator speed and the mechanical torque, usually regarded as accessible, (ii) a sensorless MPPT block developed to provide optimal generator speed reference, which is designed on the basis of the mechanical observer and a polynomial wind-speed estimator and (iii) a finite-time controller (FTC) applied to the B2B converter to meet the output reference's tracking objectives in a short predefined finite time by using the backstepping and Lyapunov approaches. The proposed controller performance is formally analysed, and its capabilities are verified by numerical simulations using a 2 MW DFIG wind turbine (WT) under different operating conditions.
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    Enlace a la fuente original: https://www.mdpi.com/2075-1702/10/11/1074
    Referencia de l'ítem segons les normes APA: Abouloifa, Abdelmajid; Noussi, Karim; Elbouchikhi, Elhoussin; Katir, Hanane; Lachkar, Ibtissam; El Aroudi, Abdelali (2022). High-Gain Observer-Based Advanced Nonlinear Control of a Grid-Connected Wind Energy Conversion System with Sensorless Maximum Power Point Tracking. Machines, 10(11), 1074-. DOI: 10.3390/machines10111074
    Referencia al articulo segun fuente origial: Machines. 10 (11): 1074-
    DOI del artículo: 10.3390/machines10111074
    Año de publicación de la revista: 2022
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2025-01-28
    Autor/es de la URV: El Aroudi Chaoui, Abdelali
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Abouloifa, Abdelmajid; Noussi, Karim; Elbouchikhi, Elhoussin; Katir, Hanane; Lachkar, Ibtissam; El Aroudi, Abdelali
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Mechanical engineering, Industrial and manufacturing engineering, Engineering, mechanical, Engineering, electrical & electronic, Electrical and electronic engineering, Control and systems engineering, Control and optimization, Computer science (miscellaneous)
    Direcció de correo del autor: abdelali.elaroudi@urv.cat
  • Palabras clave:

    Wind speed estimator
    Wecs
    Vsc
    Turbine
    Sliding mode control
    Output-feedback control
    Lyapunov stability
    High-gain observer
    Finite-time control
    Dfig
    Design
    Algorithm
    Computer Science (Miscellaneous)
    Control and Optimization
    Control and Systems Engineering
    Electrical and Electronic Engineering
    Engineering
    Electrical & Electronic
    Mechanical
    Industrial and Manufacturing Engineering
    Mechanical Engineering
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