Title: Evolutionary optimisation-based fractional order controller for web transport systems in process industries

Authors: N. Haripriya; P. Kavitha; Seshadhri Srinivasan; Juri Belikov

Addresses: Alstom Transport India Ltd, Bangalore, India ' Robotics and Control Division, School of Electrical Engineering, Vellore Institute of Technology, Vellore, India ' International Research Centre, Kalasalingam University, Srivilliputtur, India ' Andrew and Erna Viterbi Faculty of Electrical Engineering, Technion, Israel

Abstract: This investigation presents an optimisation-based design of fractional order proportional integral (FO-PI) controller for web transport systems used in paper industries. The objective of the optimisation algorithm is to reduce the integral absolute error of the closed loop web transport systems considering the underlying physical and operating constraints. The resulting optimisation problem is nonlinear, and to compute the controller parameters, evolutionary algorithms - particle swarm optimisation (PSO) and bacterial foraging optimisation (BFO) are used. The performance improvements achieved using FOC is compared with traditional proportional integral derivative controller. Our results show that BFO tuned FOC shows better performance.

Keywords: web transport systems; WTS; web tension controllers; WTC; fractional order controllers; FOC; particle swarm optimisation; PSO; bacterial foraging optimisation; BFO; offline optimisation.

DOI: 10.1504/IJAIP.2019.098567

International Journal of Advanced Intelligence Paradigms, 2019 Vol.12 No.3/4, pp.317 - 330

Received: 12 Jan 2016
Accepted: 17 Jun 2016

Published online: 28 Mar 2019 *

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