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The control unfalsification within the dynamic operability framework
Journal article   Peer reviewed

The control unfalsification within the dynamic operability framework

E. Ekawati and P.A. Bahri
European Symposium on Computer-Aided Process Engineering-14, 37th European Symposium of the Working Party on Computer-Aided Process Engineering, Vol.18, pp.643-648
2004
DOI: https://doi.org/10.1016/S1570-7946(04)80173-1
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Abstract

This paper demonstrates the process control unfalsification during the course of disturbance signals using the Dynamic Operability Framework. To accommodate this feature, the general disturbance signals are sampled within an optimisation window, which progresses sequentially over the time horizon. At each sequence, the framework solves dynamic MINLP problems associated with the piecewise process dynamics subject to the sampled disturbance signals. This feature provides more adaptability and reduces conservatism of process design over longer time horizon and wider disturbance range and dynamics. The performance of the framework is demonstrated on a case study involving a non-linear exothermic chemical reaction, which is greatly affected by random disturbance signals. The variations of process profitability, controllability, and computational costs due to different optimisation windows are presented.

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