Publication

Multi–layer health–aware economic predictive control of a pasteurization pilot plant

Journal Article (2018)

Journal

International Journal of Applied Mathematics and Computer Science

Pages

97-110

Volume

28

Number

1

Doc link

http://dx.doi.org/10.2478/amcs-2018-0007

File

Download the digital copy of the doc pdf document

Abstract

This paper proposes two different health-aware economic predictive control strategies that aim at minimizing the damage of components in a pasteurization plant. The damage is assessed with a rainflow-counting algorithm that allows estimating the components’ fatigue. By using the results obtained from this algorithm, a simplified model that characterizes the health of the system is developed and integrated into the predictive controller. The overall control objective is modified by adding an extra criterion that takes into account the accumulated damage. The first strategy is a single-layer predictive controller with an integral action to eliminate the steady-state error that appears when adding the extra criterion. In order to achieve the best minimal accumulated damage and operational costs, the single-layer approach is improved with a multi-layer control scheme, where the solution of the dynamic optimization problem is obtained from the model in two different time scales. Finally, to achieve the advisable trade-off between minimal accumulated damage and operational costs, both control strategies are compared in simulation over a utility-scale pasteurization plant.

Categories

automation, control theory, optimisation.

Author keywords

model predictive control, two-layers control scheme, fatigue, economic optimization, health-aware controller

Scientific reference

F. Karimi, V. Puig and C. Ocampo-Martínez. Multi–layer health–aware economic predictive control of a pasteurization pilot plant. International Journal of Applied Mathematics and Computer Science, 28(1): 97-110, 2018.