An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system

One of the most popular controllers for the automatic voltage regulator (AVR) in maintaining the voltage level of a synchronous generator is the fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning the FOPID controller is challenging since there are five gains...

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Main Authors: Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Helmi, Suid, Mok, Ren Hao
Format: Article
Language:English
Published: MDPI 2023
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Online Access:http://umpir.ump.edu.my/id/eprint/38213/1/An%20Improved%20Marine%20Predators%20Algorithm-Tuned%20Fractional-order%20PID_FULL.pdf
http://umpir.ump.edu.my/id/eprint/38213/
https://doi.org/10.3390/fractalfract7070561
https://doi.org/10.3390/fractalfract7070561
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spelling my.ump.umpir.382132023-08-03T01:46:48Z http://umpir.ump.edu.my/id/eprint/38213/ An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system Mohd Zaidi, Mohd Tumari Mohd Ashraf, Ahmad Mohd Helmi, Suid Mok, Ren Hao TK Electrical engineering. Electronics Nuclear engineering One of the most popular controllers for the automatic voltage regulator (AVR) in maintaining the voltage level of a synchronous generator is the fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning the FOPID controller is challenging since there are five gains compared to the three gains of a conventional proportional–integral–derivative (PID) controller. Therefore, this research work presents a variant of the marine predators algorithm (MPA) for tuning the FOPID controller of the AVR system. Here, two modifications are applied to the existing MPA: the hybridization between MPA and the safe experimentation dynamics algorithm (SEDA) in the updating mechanism to solve the local optima issue, and the introduction of a tunable step size adaptive coefficient (CF) to improve the searching capability. The effectiveness of the proposed method in tuning the FOPID controller of the AVR system was assessed in terms of the convergence curve of the objective function, the statistical analysis of the objective function, Wilcoxon’s rank test, the step response analysis, stability analyses, and robustness analyses where the AVR system was subjected to noise, disturbance, and parameter uncertainties. We have shown that our proposed controller has improved the AVR system’s transient response and also produced about two times better results for objective function compared with other recent metaheuristic optimization-tuned FOPID controllers. MDPI 2023-07 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/38213/1/An%20Improved%20Marine%20Predators%20Algorithm-Tuned%20Fractional-order%20PID_FULL.pdf Mohd Zaidi, Mohd Tumari and Mohd Ashraf, Ahmad and Mohd Helmi, Suid and Mok, Ren Hao (2023) An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system. Fractal and Fractional, 7 (7). pp. 1-38. ISSN 2504-3110. (Published) https://doi.org/10.3390/fractalfract7070561 https://doi.org/10.3390/fractalfract7070561
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Zaidi, Mohd Tumari
Mohd Ashraf, Ahmad
Mohd Helmi, Suid
Mok, Ren Hao
An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system
description One of the most popular controllers for the automatic voltage regulator (AVR) in maintaining the voltage level of a synchronous generator is the fractional-order proportional–integral-derivative (FOPID) controller. Unfortunately, tuning the FOPID controller is challenging since there are five gains compared to the three gains of a conventional proportional–integral–derivative (PID) controller. Therefore, this research work presents a variant of the marine predators algorithm (MPA) for tuning the FOPID controller of the AVR system. Here, two modifications are applied to the existing MPA: the hybridization between MPA and the safe experimentation dynamics algorithm (SEDA) in the updating mechanism to solve the local optima issue, and the introduction of a tunable step size adaptive coefficient (CF) to improve the searching capability. The effectiveness of the proposed method in tuning the FOPID controller of the AVR system was assessed in terms of the convergence curve of the objective function, the statistical analysis of the objective function, Wilcoxon’s rank test, the step response analysis, stability analyses, and robustness analyses where the AVR system was subjected to noise, disturbance, and parameter uncertainties. We have shown that our proposed controller has improved the AVR system’s transient response and also produced about two times better results for objective function compared with other recent metaheuristic optimization-tuned FOPID controllers.
format Article
author Mohd Zaidi, Mohd Tumari
Mohd Ashraf, Ahmad
Mohd Helmi, Suid
Mok, Ren Hao
author_facet Mohd Zaidi, Mohd Tumari
Mohd Ashraf, Ahmad
Mohd Helmi, Suid
Mok, Ren Hao
author_sort Mohd Zaidi, Mohd Tumari
title An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system
title_short An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system
title_full An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system
title_fullStr An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system
title_full_unstemmed An improved marine predators algorithm-tuned fractional-order PID controller for automatic voltage regulator system
title_sort improved marine predators algorithm-tuned fractional-order pid controller for automatic voltage regulator system
publisher MDPI
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38213/1/An%20Improved%20Marine%20Predators%20Algorithm-Tuned%20Fractional-order%20PID_FULL.pdf
http://umpir.ump.edu.my/id/eprint/38213/
https://doi.org/10.3390/fractalfract7070561
https://doi.org/10.3390/fractalfract7070561
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score 13.211869