Optimization of PID Controller Based on PSOGSA for an Automatic Voltage Regulator System

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Publication Details

Author list: Kansit S., Assawinchaichote W.

Publisher: Elsevier

Publication year: 2016

Volume number: 86

Start page: 87

End page: 90

Number of pages: 4

ISSN: 1877-0509

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999792266&doi=10.1016%2fj.procs.2016.05.022&partnerID=40&md5=47c8619a5656b95e33d233f7aa11c836

Languages: English-Great Britain (EN-GB)

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Abstract

This paper presents an optimal Proportional Integral Derivate (PID) controller design for an Automatic Voltage Regulator (AVR) system using a new hybrid devised from the Particle Swarm Optimization and the Gravitational Search Algorithm (PSOGSA). The transient response analysis and bode analysis were considered to show the effectiveness of the design technique. Moreover, the comparison of the results between the proposed approach and other techniques such as the Ziegler-Nichols (ZN) tuning method, the Particle Swarm Optimization (PSO) tuning method and the Many Optimizing Liaisons (MOL) tuning method have been given. According to the analysis, the proposed PSOGSA algorithm gives better results than other techniques for the AVR system. ฉ 2016 The Authors.

Keywords

Automatic Voltage Regulator, Particle Swarms Optimization and Gravitational Search Algorithm