Title: Control of dead-time systems using derivative free particle swarm optimisation

Authors: G. Kanthaswamy, Jovitha Jerome

Addresses: Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore 641004, India. ' Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Coimbatore 641004, India

Abstract: Particle swarm optimisation (PSO), a population-based nature inspired algorithm has mostly been used for solving continuous optimisation problems, discrete variants also exist. It finds application in most of the engineering design problems. This paper introduces two improved forms of PSO algorithm applied to PID controller and Smith predictor design for a class of time delay systems. In this paper, derivative free optimisation methods, namely simplex derivative pattern search and implicit filtering are used to hybridise PSO algorithm with improved convergence than original PSO. The effectiveness of the proposed algorithms namely SDPS-PSO, IMF-PSO are demonstrated using unit step set point response for a class of dead-time systems using PID controller and Smith predictor designed using the proposed hybrid PSO algorithms. The results are compared with earlier controller tunings proposed by Kookos, Syrcos, Chidambaram, Kanthaswamy and Luyben.

Keywords: particle swarm optimisation; PSO; dead-time systems; proportional integral derivative; PID control; Smith predictor; integral square errors; ISE; pattern search; simplex derivative; implicit filtering.

DOI: 10.1504/IJBIC.2011.039908

International Journal of Bio-Inspired Computation, 2011 Vol.3 No.2, pp.85 - 102

Published online: 12 Nov 2014 *

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