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Solar Hydrogen Variable Speed Control of Induction Motor Based on Chaotic Billiards Optimization Technique

Author

Listed:
  • Basem E. Elnaghi

    (Electrical Power and Machines Department, Faculty of Engineering, Suez Canal University, Ismailia 41522, Egypt)

  • M. N. Abelwhab

    (Electrical Power and Machines Department, Faculty of Engineering, Suez Canal University, Ismailia 41522, Egypt)

  • Ahmed M. Ismaiel

    (Electrical Power and Machines Department, Faculty of Engineering, Suez Canal University, Ismailia 41522, Egypt)

  • Reham H. Mohammed

    (Electrical Engineering Department, Faculty of Engineering, Suez Canal University, Ismailia 41522, Egypt)

Abstract

This paper introduces a brand-new, inspired optimization algorithm (the chaotic billiards optimization (C-BO) approach) to effectively develop the optimal parameters for fuzzy PID techniques to enhance the dynamic response of the solar–hydrogen drive of an induction motor. This study compares fuzzy-PID-based C-BO regulators to fuzzy PID regulators based on particle swarm optimization (PSO) and PI-based PSO regulators to provide speed control in solar–hydrogen, induction-motor drive systems. The model is implemented to simulate the production and storage of hydrogen while powering an induction-motor drive which provides a great solution for the renewable energy storage problem in the case of solar pumping systems. MATLAB/Simulink 2021a is used to simulate and analyze the entire operation. The laboratory prototype is implemented in real time using a DSP-DS1104 board. Based on the simulation and experimental results, the proposed fuzzy-PID-based C-BO has reduced speed peak overshoot by 45.3% when compared to a fuzzy PID based PSO speed regulator and by 68.13% when compared to a PI-based PSO speed controller in the case of a large-scale motor. Additionally, the proposed speed regulator has a 6.1% faster speed rising time than a fuzzy-PID-based PSO and a 9.5% faster speed rising time than a PI–PSO speed controller. It has an excellent dynamic responsiveness value when compared to the other speed regulators.

Suggested Citation

  • Basem E. Elnaghi & M. N. Abelwhab & Ahmed M. Ismaiel & Reham H. Mohammed, 2023. "Solar Hydrogen Variable Speed Control of Induction Motor Based on Chaotic Billiards Optimization Technique," Energies, MDPI, vol. 16(3), pages 1-33, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1110-:d:1041028
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    References listed on IDEAS

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    1. Andrzej Szałek & Ireneusz Pielecha & Wojciech Cieslik, 2021. "Fuel Cell Electric Vehicle (FCEV) Energy Flow Analysis in Real Driving Conditions (RDC)," Energies, MDPI, vol. 14(16), pages 1-17, August.
    2. Ramesh Kumar Behara & Akshay Kumar Saha, 2022. "Artificial Intelligence Control System Applied in Smart Grid Integrated Doubly Fed Induction Generator-Based Wind Turbine: A Review," Energies, MDPI, vol. 15(17), pages 1-56, September.
    3. Olabi, A.G. & Obaideen, Khaled & Elsaid, Khaled & Wilberforce, Tabbi & Sayed, Enas Taha & Maghrabie, Hussein M. & Abdelkareem, Mohammad Ali, 2022. "Assessment of the pre-combustion carbon capture contribution into sustainable development goals SDGs using novel indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
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    1. Ángel Adrián Orta-Quintana & Rogelio Ernesto García-Chávez & Ramón Silva-Ortigoza & Magdalena Marciano-Melchor & Miguel Gabriel Villarreal-Cervantes & José Rafael García-Sánchez & Rocío García-Cortés , 2023. "Sensorless Tracking Control Based on Sliding Mode for the “Full-Bridge Buck Inverter–DC Motor” System Fed by PV Panel," Sustainability, MDPI, vol. 15(13), pages 1-27, June.

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