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Genetic Algorithm Based PI Control with 12-Band Hysteresis Current Control of an Asymmetrical 13-Level Inverter

Author

Listed:
  • Mohammad Ali

    (Department of Electrical Engineering, Zakir Husain College of Engneering & Technology, Aligarh Muslim University, Aligarh 202001, India)

  • Mohd Tariq

    (Department of Electrical Engineering, Zakir Husain College of Engneering & Technology, Aligarh Muslim University, Aligarh 202001, India)

  • Deepak Upadhyay

    (Department of Electrical Engineering, Zakir Husain College of Engneering & Technology, Aligarh Muslim University, Aligarh 202001, India)

  • Shahbaz Ahmad Khan

    (Department of Electrical Engineering, Zakir Husain College of Engneering & Technology, Aligarh Muslim University, Aligarh 202001, India)

  • Kuntal Satpathi

    (Energy Exemplar (Singapore) Pte Ltd., 9 Battery Road, Singapore 049910, Singapore)

  • Basem Alamri

    (Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia)

  • Ahmad Aziz Alahmadi

    (Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia)

Abstract

In this paper, a twelve-band hysteresis control is applied to a recent thirteen-level asymmetrical inverter topology by employing a robust proportional-integral (PI) controller whose parameters are decided online by genetic algorithm (GA). The asymmetrical inverter topology can generate thirteen levels of output voltage incorporating only ten switches and exhibits boosting capability. A 12-band hysteresis current control strategy is applied to ensure the satisfactory operation of the inverter. It is designed to provide a sinusoidal line current at the unity power factor. The tuning of the PI controller is achieved by a nature inspired GA. Comparative analysis of the results obtained after application of the GA and the conventional Ziegler–Nichols method is also performed. The efficacy of the proposed control on WE topology is substantiated in the MATLAB Simulink environment and was further validated through experimental/real-time implementation using DSC TMS320F28379D and Typhoon HIL real-time emulator (Typhoon-HIL-402).

Suggested Citation

  • Mohammad Ali & Mohd Tariq & Deepak Upadhyay & Shahbaz Ahmad Khan & Kuntal Satpathi & Basem Alamri & Ahmad Aziz Alahmadi, 2021. "Genetic Algorithm Based PI Control with 12-Band Hysteresis Current Control of an Asymmetrical 13-Level Inverter," Energies, MDPI, vol. 14(20), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6663-:d:656508
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    Cited by:

    1. Taha Selim Ustun, 2022. "Power Systems Imitate Nature for Improved Performance Use of Nature-Inspired Optimization Techniques," Energies, MDPI, vol. 15(17), pages 1-2, August.

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