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Refined sinh cosh optimizer tuned controller design for enhanced stability of automatic voltage regulation

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Abstract

The efficacy of automatic voltage regulator (AVR) systems is contingent on crucial parameters like voltage regulation, response time, stability, and efficiency. Integration of controllers with AVR systems facilitates centralized monitoring and regulation, enhancing voltage output efficiency. This study employs a modified sinh cosh optimizer (m-SCHO) and a modified time-domain metrics-based objective function to fine-tune a fractional-order proportional-integral-derivative with double derivative (FOPIDD2) controller tailored for AVR system control. The m-SCHO is strengthened with an adaptive local search mechanism and an experience-based perturbed learning strategy and enhances solution diversity and navigational efficacy, leading to improved optimization quality. This investigation illustrates the superior performance of the m-SCHO-based FOPIDD2 controller in addressing the multifaceted challenges of AVR control, surpassing other techniques in stability, speed of response, robustness, and efficiency. To validate the method's efficacy, a comparative analysis is conducted using existing controllers with various tuning algorithms. Results indicate that the proposed m-SCHO-based FOPIDD2 controller achieves superior performance metrics, showcasing its capability. The study extends its scope by considering nineteen different controllers reported in the literature for a comprehensive comparison which also exhibits the best stability, further affirming its effectiveness.

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Acknowledgements

This work has been supported by an internal grant project of VSB-Technical University of Ostrava (SGS project, grant number SP 2023/076).

Funding

The researchers would like to acknowledge Deanship of Scientific Research, Taif University for funding this work.

Author information

Authors and Affiliations

  1. Department of Computer Engineering, Batman University, Batman, 72100, Turkey

    Davut Izci & Serdar Ekinci

  2. Basic Engineering Science Department, Faculty of Engineering, Menoufia University, Shebin El-Kom, 32511, Egypt

    Rizk M. Rizk-Allah

  3. Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, 70800, Poruba-Ostrava, Czech Republic

    Rizk M. Rizk-Allah & Václav Snášel

  4. CSMIS Department, Oman College of Management and Technology, 320, Barka, Oman

    Hazem Migdady

  5. College of Engineering, Al Ain University, 112612, Abu Dhabi, United Arab Emirates

    Mohammad Sh. Daoud

  6. Department of Management Information Systems, College of Business Administration, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia

    Maryam Altalhi

  7. Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, 71491, Tabuk, Saudi Arabia

    Laith Abualigah

  8. Computer Science Department, Al Al-Bayt University, Mafraq, 25113, Jordan

    Laith Abualigah

  9. Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan

    Laith Abualigah

  10. MEU Research Unit, Middle East University, Amman, 11831, Jordan

    Laith Abualigah

  11. Department of Electrical and Computer Engineering, Lebanese American University, Byblos, 13-5053, Lebanon

    Laith Abualigah

  12. School of Computer Sciences, Universiti Sains Malaysia, 11800, Pulau, Pinang, Malaysia

    Laith Abualigah

  13. Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan

    Laith Abualigah

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  1. Davut Izci
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  2. Rizk M. Rizk-Allah
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  3. Václav Snášel
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  4. Serdar Ekinci
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  6. Mohammad Sh. Daoud
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  7. Maryam Altalhi
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  8. Laith Abualigah
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Contributions

DI: Supervision, Conceptualization, Methodology, Software, Investigation, Validation, Writing—Original draft preparation.RMRA: Writing—Original draft preparation, Visualization, Investigation.VS: Writing—Original draft preparation, Visualization, Investigation.SE: Writing—Original draft preparation, Visualization, Investigation.HM: Writing—Original draft preparation, Visualization, Investigation.MSD: Writing—Original draft preparation, Visualization, Investigation.MA: Writing—Original draft preparation, Visualization, Investigation.LA: Writing—Original draft preparation, Visualization, Investigation.

Corresponding author

Correspondence to Laith Abualigah.

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Izci, D., Rizk-Allah, R.M., Snášel, V. et al. Refined sinh cosh optimizer tuned controller design for enhanced stability of automatic voltage regulation. Electr Eng (2024). https://doi.org/10.1007/s00202-024-02344-5

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