Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System
The proportional integral derivative (PID) controller is one of the most robust and simplest configuration controllers used for industrial applications. However, its performance purely depends on the tuning of its proportional (KP), integral (KI) and derivative (KD) gains. Therefore, a proper combin...
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| Veröffentlicht in: | Energies (Basel) Jg. 15; H. 14; S. 5037 |
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| Sprache: | Englisch |
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| ISSN: | 1996-1073, 1996-1073 |
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| Abstract | The proportional integral derivative (PID) controller is one of the most robust and simplest configuration controllers used for industrial applications. However, its performance purely depends on the tuning of its proportional (KP), integral (KI) and derivative (KD) gains. Therefore, a proper combination of these gains is primarily required to achieve an optimal performance of the PID controllers. The conventional methods of PID tuning such as Cohen-Coon (CC) and Ziegler–Nichols (ZN) generate unwanted overshoots and long-lasting oscillations in the system. Owing to the mentioned problems, this paper attempts to achieve an optimized combination of PID controller gains by exploiting the intelligence of the whale optimization algorithm (WOA) and one of its recently introduced modified versions called improved whale optimization algorithm (IWOA) in an automatic voltage regulator (AVR) system. The stability of the IWOA-AVR system was studied by assessing its root-locus, bode maps, and pole/zero plots. The performance superiority of the presented IWOA-AVR design over eight of the recently explored AI-based approaches was validated through a comprehensive comparative analysis based on the most important transient response and stability metrics. Finally, to assess the robustness of the optimized AVR system, robustness analysis was conducted by analyzing the system response during the variation in the time constants of the generator, exciter, and amplifier from −50% to 50% range. The results of the study prove the superiority of the proposed IWOA-based AVR system in terms of transient response and stability metrics. |
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| AbstractList | The proportional integral derivative (PID) controller is one of the most robust and simplest configuration controllers used for industrial applications. However, its performance purely depends on the tuning of its proportional (KP), integral (KI) and derivative (KD) gains. Therefore, a proper combination of these gains is primarily required to achieve an optimal performance of the PID controllers. The conventional methods of PID tuning such as Cohen-Coon (CC) and Ziegler–Nichols (ZN) generate unwanted overshoots and long-lasting oscillations in the system. Owing to the mentioned problems, this paper attempts to achieve an optimized combination of PID controller gains by exploiting the intelligence of the whale optimization algorithm (WOA) and one of its recently introduced modified versions called improved whale optimization algorithm (IWOA) in an automatic voltage regulator (AVR) system. The stability of the IWOA-AVR system was studied by assessing its root-locus, bode maps, and pole/zero plots. The performance superiority of the presented IWOA-AVR design over eight of the recently explored AI-based approaches was validated through a comprehensive comparative analysis based on the most important transient response and stability metrics. Finally, to assess the robustness of the optimized AVR system, robustness analysis was conducted by analyzing the system response during the variation in the time constants of the generator, exciter, and amplifier from −50% to 50% range. The results of the study prove the superiority of the proposed IWOA-based AVR system in terms of transient response and stability metrics. |
| Author | Jumani, Touqeer A. Ahmed, Emad M. Habib, Salman Abbas, Ghulam Bhutto, Aqeel Ahmed Mirsaeidi, Sohrab |
| Author_xml | – sequence: 1 givenname: Salman orcidid: 0000-0003-2632-2895 surname: Habib fullname: Habib, Salman – sequence: 2 givenname: Ghulam orcidid: 0000-0001-7383-6798 surname: Abbas fullname: Abbas, Ghulam – sequence: 3 givenname: Touqeer A. orcidid: 0000-0002-5201-5111 surname: Jumani fullname: Jumani, Touqeer A. – sequence: 4 givenname: Aqeel Ahmed surname: Bhutto fullname: Bhutto, Aqeel Ahmed – sequence: 5 givenname: Sohrab surname: Mirsaeidi fullname: Mirsaeidi, Sohrab – sequence: 6 givenname: Emad M. orcidid: 0000-0001-7828-7556 surname: Ahmed fullname: Ahmed, Emad M. |
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| SubjectTerms | automatic voltage regulator Cognition & reasoning Controllers Design optimization dynamic response enhancement improved whale optimization algorithm Life expectancy Optimization algorithms Optimization techniques stability whale optimization algorithm |
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| Title | Improved Whale Optimization Algorithm for Transient Response, Robustness, and Stability Enhancement of an Automatic Voltage Regulator System |
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