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Modeling and fuzzy control of a wind energy system based on double-fed asynchronous machine for supply of power to the electrical network

Author

Listed:
  • Abdel Karim Guediri

    (Med Khaider University Biskra)

  • D. Ben Attous

    (El-Oued University)

Abstract

The present paper proposes a model of fuzzy logic control of a doubly fed asynchronous machine (DFAM). First, a mathematical model of DFAM, written in an appropriate d-q reference frame, is established to investigate the results of simulations. In order to control the rotor currents of DFAM, a torque tracking control law is synthesized using PI controllers; the stator side power factor is controlled at a unity level. Then, artificial intelligent controls, such as fuzzy logic control, are applied. The simulated performances are then compared to those of a classical PI controller. Results obtained, in Matlab/Simulink environment, show that the fuzzy control is more robust i.e. has a superior dynamic performance and, hence, is found to be a suitable replacement of the conventional PI controller for a high performance drive applications.

Suggested Citation

  • Abdel Karim Guediri & D. Ben Attous, 2017. "Modeling and fuzzy control of a wind energy system based on double-fed asynchronous machine for supply of power to the electrical network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 353-360, January.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-015-0367-1
    DOI: 10.1007/s13198-015-0367-1
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    Cited by:

    1. Ridha Cheikh & Hocine Belmili & Arezki Menacer & Said Drid & L. Chrifi-Alaoui, 2019. "Dynamic behavior analysis under a grid fault scenario of a 2 MW double fed induction generator-based wind turbine: comparative study of the reference frame orientation approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 632-643, August.

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