Particle Swam Optimization Based Optimal PID Parameters for Air Heater Temperature Control System

Conference proceedings article

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Publication Details

Author list: Sungthong A., Assawinchaichote W.

Publisher: Elsevier

Publication year: 2016

Volume number: 86

Start page: 108

End page: 111

Number of pages: 4

ISSN: 1877-0509

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999723755&doi=10.1016%2fj.procs.2016.05.027&partnerID=40&md5=3269e82236d90b4fafcf3e4bed0245ca

Languages: English-Great Britain (EN-GB)

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Abstract

This paper concentrated on the design of PID controller for air heater temperature control system. It is appeared that PID controllers are utilized in many industrial applications. However, the major problem of PID controller design is how to identify the optimal parameters of PID so that the optimal performance of the system can be obtained. Then, this paper proposes the Particle Swarm Optimization (PSO) method for tuning optimal PID parameters for the air heater. The simulation results are achieved that the PSO optimized PID controller is able to provide an improved closed-loop system performances over the Ziegler-Nichols tuning method, and Genetic Algorithm (GA) in the perspectives of transient responses; i.e, the integral of square error (ISE), settling time and overshoot. ฉ 2016 The Authors.

Keywords

Air Heater Temperature Control, Tuning Parameters