Research HighlightsThe PAROC Framework and Software Platform
The presence of uncertainty in process systems is one of the key reasons for deviation from set operation policies. As these uncertainties realize themselves on different time scales such as on a control, scheduling or design level, an integrated, comprehensive approach to consider uncertainty is required. In order to address this challenging issue, we have developed PAROC, a unified and integrated framework for the design, optimization and model-based control of process systems. It is based on the idea of decomposing the original problem into a series of steps, and providing solution strategies for each step. These steps are: (i) dynamic 'high-fidelity' modelling, (ii) model approximation via system identification or model reduction techniques, (iii) formulation and solution of the control or receding horizon policy problem via multi-parametric programming, (iv) formulation and solution of a state estimator via multi-parametric programming and (v) a closed-loop validation against the 'high-fidelity' model. |