Application of Generalised Predictive Control to a Milk Pasteurisation Process

M.T. Khadir and J.V. Ringwood (Ireland)


Milk pasteurisation, nonlinear modelling, generalised pre dictive control, artificial neural networks


In this paper, Generalised Predictive Control (GPC) is ap plied to a milk pasteurisation process, in order to improve pasteurisation temperature control. The controller robust ness to plant/model mismatch is investigated, as the pro cess is simulated by a nonlinear Artificial Neural Network (ANN) based model, while the embedded internal model is given by a linear First Principles (FP) model. The GPC controller is furthermore compared to an optimally tuned PID controller.

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