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Khadir, M.T. and Ringwood, John (2001) 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.
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Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Keywords: | Milk pasteurisation; non-linear modelling; model predictive control; artificial neural networks; neural network modelling; |
| Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
| Item ID: | 1966 |
| Depositing User: | Professor John Ringwood |
| Date Deposited: | 01 Jun 2010 15:13 |
| Refereed: | Yes |
| URI: | https://mu.eprints-hosting.org/id/eprint/1966 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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