Fractional Order PID Controller Design for an AVR System Using Chaotic Yellow Saddle Goatfish Algorithm

Mihailo Micev, Martin Ćalasan and Diego Oliva
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Mihailo Micev: Faculty of Electrical Engineering, University of Montenegro, 81000 Podgorica, Montenegro
Martin Ćalasan: Faculty of Electrical Engineering, University of Montenegro, 81000 Podgorica, Montenegro
Diego Oliva: Depto. De Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Av. Revolucion 1500, Guadalajara, 44430 Jal, Mexico

Mathematics, 2020, vol. 8, issue 7, 1-22

Abstract: This paper presents a novel method for optimal tunning of a Fractional Order Proportional-Integral-Derivative (FOPID) controller for an Automatic Voltage Regulator (AVR) system. The presented method is based on the Yellow Saddle Goatfish Algorithm (YSGA), which is improved with Chaotic Logistic Maps. Additionally, a novel objective function for the optimization of the FOPID parameters is proposed. The performance of the obtained FOPID controller is verified by comparison with various FOPID controllers tuned by other metaheuristic algorithms. A comparative analysis is performed in terms of step response, frequency response, root locus, robustness test, and disturbance rejection ability. Results of the simulations undoubtedly show that the FOPID controller tuned with the proposed Chaotic Yellow Saddle Goatfish Algorithm (C-YSGA) outperforms FOPID controllers tuned by other algorithms, in all of the previously mentioned performance tests.

Keywords: Automatic Voltage Regulation system; Chaotic optimization; Fractional Order Proportional-Integral-Derivative controller; Yellow Saddle Goatfish Algorithm (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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