Khadir, M.T. and Ringwood, John
Neural Network Modelling and Predictive Control of a Milk Pasteurisation Plant.
In: Proceedings of the 7th International Conference on Engineering Applications of Neural Networks (EANN 2001), July 16-18 2001, Cagliari, Sardinia.
This paper investigates the possible use of artificial neural networks (ANN), more precisely multi-layer perceptrons (MLPs), for the nonlinear modelling and predictive control of a milk pasteurisation plant. Model predictive control (MPC) schemes require the development of a predictive model. Using data gathered from an industrial milk plant, a nonlinear multi-step ahead neural network predictor model (NNM) was established. A neural predictive controller (NPC) was then designed on the same basis for the control of milk pasteurisation temperature. Simulation results are presented and conclusions are drawn.
Conference or Workshop Item
||Milk pasteurisation; non-linear modelling; model predictive control; artificial neural networks; neural network modelling;
||Faculty of Science and Engineering > Electronic Engineering
Professor John Ringwood
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