Title: On the optimal control of the steel annealing processes as a two-stage hybrid systems via PSO algorithms

Authors: M. Senthil Arumugam, G. Ramana Murthy, C.K. Loo

Addresses: Faculty of Engineering and Technology, Multimedia University, Malacca Campus, Malacca, Malaysia. ' Faculty of Engineering and Technology, Multimedia University, Malacca Campus, Malacca, Malaysia. ' Faculty of Engineering and Technology, Multimedia University, Malacca Campus, Malacca, Malaysia

Abstract: The computation of optimal control variables for a two-stage steel annealing process which comprises of one or more furnaces is proposed in this paper. The heating and soaking furnaces of the steel annealing line form the two-stage hybrid systems. Three algorithms including particle swarm optimisation (PSO) with globally and locally tuned parameters (GLBest PSO), a parameter free PSO algorithm (pf-PSO) and a PSO-like algorithm via extrapolated PSO (ePSO) are considered to solve this optimal control problem for the two-stage steel annealing processes (SAP). The optimal solutions including optimal line speed, optimal cost and job completion time obtained through these three methods are compared with one another and those obtained via conventional PSO (cPSO) with time varying inertia weight (TVIW) and time varying acceleration coefficient (TVAC). From the results obtained through the five algorithms considered, the efficacy and validity of each algorithm are analysed.

Keywords: optimal control; steel annealing; particle swarm optimisation; PSO; hybrid systems; heating furnaces; soaking furnaces; line speed; cost; job completion time; bio-inspired computation.

DOI: 10.1504/IJBIC.2009.023815

International Journal of Bio-Inspired Computation, 2009 Vol.1 No.3, pp.198 - 209

Published online: 12 Mar 2009 *

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