Fractional order PID controller design for an AVR system using Chaotic Yellow Saddle Goatfish Algorithm

Mihailo Micev, Martin Ćalasan, Diego Oliva

Research output: Contribution to journalArticle

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.

Original languageEnglish
Article number1182
JournalMathematics
Volume8
Issue number7
DOIs
Publication statusPublished - Jul 2020

Keywords

  • Automatic voltage regulation system
  • Chaotic optimization
  • Fractional order proportional-integral-derivative controller
  • Yellow saddle goatfish algorithm

ASJC Scopus subject areas

  • Mathematics(all)

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