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Journal of Fundamental and Applied Sciences

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NARX-based BPSO modelling for time-varying steam temperature of steam distillation pilot plant

N. Hambali, M. N. Taib, A. I. M. Yassin, M.H.F. Rahiman

Abstract


This paper focuses on a nonlinear modelling for a time-varying process of steam temperature by employing a polynomial Nonlinear Auto-Regressive with Exogenous Input (NARX) structure based on Binary Particle Swarm Optimization (BPSO) algorithm. The system identification time-varying steam temperature data was collected from Steam Distillation Pilot Plant. Three models’ criterion were implemented: Akaike Information Criterion, Model Descriptor Length (MDL) and Final Prediction Error (FPE) for optimization process of NARX-based BPSO modelling. The results demonstrated that the FPE criterion model was presented a slightly better model with lowest CRV from the testing set, small fitness value and a  minimum number of parameter in the output model. The accuracy was evaluated by the high R-squared, small MSE value and passed all the correlation and histogram tests.

Keywords: identification; distillation column; temperature; NARX; particle swarm optimization. 




http://dx.doi.org/10.4314/jfas.v9i4S.6
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