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Design and Robust Performance Analysis of Low-Order Approximation of Fractional PID Controller Based on an IABC Algorithm for an Automatic Voltage Regulator System

Author

Listed:
  • Abdelhakim Idir

    (Department of Electrical Engineering, University Mohamed Boudiaf of M’sila, M’sila 28000, Algeria
    Applied Automation Laboratory, F.H.C, University of Boumerdes, Boumerdes 35000, Algeria)

  • Laurent Canale

    (CNRS, LAPLACE, UMR 5213 Toulouse, France)

  • Yassine Bensafia

    (Department of Electrical Engineering, Bouira University, Bouira 10000, Algeria)

  • Khatir Khettab

    (Department of Electrical Engineering, University Mohamed Boudiaf of M’sila, M’sila 28000, Algeria)

Abstract

In this paper, a low-order approximation (LOA) of fractional order PID (FOPID) for an automatic voltage regulator (AVR) based on the modified artificial bee colony (ABC) is proposed. The improved artificial bee colony (IABC) high-order approximation (HOA)-based fractional order PID (IABC/HOA-FOPID) controller, which is distinguished by a significant order approximation and by an integer order transfer function, requires the use of a large number of parameters. To improve the AVR system’s performance in terms of transient and frequency response analysis, the memory capacity of the IABC/HOA-FOPID controller was lowered so that it could fit better in the corrective loop. The new robust controller is named the improved artificial bee colony (IABC) low-order approximation (LOA)-based fractional order PID (IABC/LOA-FOPID). The performance of the proposed IABC/LOA-FOPID controller was compared not only to the original ABC algorithm-tuned PID controller, but also to other controllers tuned by state-of-the-art meta-heuristic algorithms such as the improved whale optimization algorithm (IWOA), particle swarm optimization (PSO), cuckoo search (CS), many optimizing liaisons (MOL), genetic algorithm (GA), local unimodal sampling (LUS), and the tree seed algorithm (TSA). Step response, root locus, frequency response, robustness test, and disturbance rejection abilities are all compared. The simulation results and comparisons with the proposed IABC/LOA-FOPID controller and other existing controllers clearly show that the proposed IABC/LOA-FOPID controller outperforms the optimal PID controllers found by other algorithms in all the aforementioned performance tests.

Suggested Citation

  • Abdelhakim Idir & Laurent Canale & Yassine Bensafia & Khatir Khettab, 2022. "Design and Robust Performance Analysis of Low-Order Approximation of Fractional PID Controller Based on an IABC Algorithm for an Automatic Voltage Regulator System," Energies, MDPI, vol. 15(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:8973-:d:985890
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    References listed on IDEAS

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    1. dos Santos Coelho, Leandro, 2009. "Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach," Chaos, Solitons & Fractals, Elsevier, vol. 39(4), pages 1504-1514.
    2. Mihailo Micev & Martin Ćalasan & Diego Oliva, 2020. "Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm," Mathematics, MDPI, vol. 8(7), pages 1-22, July.
    3. Julius Beneoluchi Odili & Mohd Nizam Mohmad Kahar & A Noraziah, 2017. "Parameters-tuning of PID controller for automatic voltage regulators using the African buffalo optimization," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-17, April.
    4. Hualong Du & Pengfei Liu & Qiuyu Cui & Xin Ma & He Wang & Sun Young Cho, 2022. "PID Controller Parameter Optimized by Reformative Artificial Bee Colony Algorithm," Journal of Mathematics, Hindawi, vol. 2022, pages 1-16, February.
    5. Salman Habib & Ghulam Abbas & Touqeer A. Jumani & Aqeel Ahmed Bhutto & Sohrab Mirsaeidi & Emad M. Ahmed, 2022. "Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System," Energies, MDPI, vol. 15(14), pages 1-18, July.
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