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A Design and Implementation of a New Control Based on Petri Nets for Three Phase PWM-Rectifier

Author

Listed:
  • Arezki Fekik

    (Akli Mohand Oulhadj University, Bouira, Algeria)

  • Mohamed Lamine Hamida

    (University of Tizi Ouzou, Algeria)

  • Dyhia Kais

    (University of Tizi Ouzou, Algeria)

  • Hocine Khati

    (University of Tizi Ouzou, Algeria)

  • Amar Bousbaine

    (University of Derby, UK)

  • Hakim Denoun

    (University of Tizi Ouzou, Algeria)

Abstract

This article introduces a novel and effective diagram based on direct instantaneous power control (DPC) of a PWM-controlled rectifier connected to the grid without a switching table. An optimum control vector of the PWM rectifier's input voltage, which depends on the switching states determined by a Petri nets controller, is adopted. This approach limits the instantaneous detection errors of reactive and active powers, maintains the DC bus voltage at a reference level, and ensures current close to a sinusoidal wave, guaranteeing operation at a unit power factor. The instantaneous tracking errors of active and reactive powers and the angular position of the voltage are used as input variables for the proposed controller, which then selects the best control vector for the converter based on the transition of a Petri net. The significant advantages of DPC based on Petri nets compared to traditional switching tables are that hysteresis comparators are not required, and the classical regulation of active and reactive powers is achieved in all sectors. Simulation and testing findings demonstrated excellent performance, supporting the viability of the suggested control approach using Petri nets.

Suggested Citation

  • Arezki Fekik & Mohamed Lamine Hamida & Dyhia Kais & Hocine Khati & Amar Bousbaine & Hakim Denoun, 2023. "A Design and Implementation of a New Control Based on Petri Nets for Three Phase PWM-Rectifier," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 14(1), pages 1-33, January.
  • Handle: RePEc:igg:jssmet:v:14:y:2023:i:1:p:1-33
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    References listed on IDEAS

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    1. Ricky Mohanty & Subhendu Kumar Pani & Ahmad Taher Azar, 2021. "Recognition of Livestock Disease Using Adaptive Neuro-Fuzzy Inference System," International Journal of Sociotechnology and Knowledge Development (IJSKD), IGI Global, vol. 13(4), pages 101-118, October.
    2. Jianhong Wang & Yunfeng Zhang & Ricardo A. Ramirez-Mendoza & Ahmad Taher Azar & Ibraheem Kasim Ibraheem & Nashwa Ahmad Kamal & Farah Ayad Abdulmajeed, 2023. "Subspace Data-Driven Control for Linear Parameter Varying Systems," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 14(1), pages 1-25, January.
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