Optimal design of automatic voltage regulation controller using hybrid simulated annealing – Manta ray foraging optimization algorithm

This paper presents a hybrid metaheuristic method for optimal tuning of four different types of proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. The method is based on the manta ray foraging optimization algorithm which is merged with the simulated a...

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Vydané v:Ain Shams Engineering Journal Ročník 12; číslo 1; s. 641 - 657
Hlavní autori: Micev, Mihailo, Ćalasan, Martin, Ali, Ziad M., Hasanien, Hany M., Abdel Aleem, Shady H.E.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier B.V 01.03.2021
Elsevier
Predmet:
Automatic voltage regulation system
Disturbance rejection
Manta ray foraging optimizer
PID controllers
Simulated annealing algorithm
Simulated annealing algorithm
Disturbance rejection
PID controllers
Manta ray foraging optimizer
Automatic voltage regulation system
ISSN:2090-4479
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Shrnutí:This paper presents a hybrid metaheuristic method for optimal tuning of four different types of proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. The method is based on the manta ray foraging optimization algorithm which is merged with the simulated annealing algorithm. Additionally, novel objective functions for the optimization of the controller’s parameters are proposed. The performance of the obtained ideal PID, real PID, fractional-order PID, and PID with second-order derivative controllers is verified by carrying out a comparison with the controllers tuned by different algorithms presented in the literature. Results of the simulations validate that each type of controller tuned with the proposed SA–MRFO algorithm outperforms the controllers tuned by other algorithms. Further, a comparative analysis is carried out to determine the most suitable controller for application in AVR systems. The main advantage of the proposed algorithm is the significant increase in the convergence speed.
ISSN:2090-4479
DOI:10.1016/j.asej.2020.07.010