Abstract
Abstract Output modifier adaptation (MAy) is an iterative model-based real-time optimization (RTO) method with the proven ability to reach, upon converge, the unknown plant optimal steady-state operating conditions despite structural and parametric plant-model mismatch and disturbances. However, as such, feasibility of the iterates cannot be guaranteed before convergence is achieved. This issue can be mitigated with additional modelling and/or experimental efforts, which is costly and sometimes cannot be envisaged, especially for large-scale systems. In this article, MAy is compared to one of its most recent extensions, namely “KMAy”, which is shown to have more favorable sufficient conditions for feasibility of the iterates. A simulation study, performed on the Williams-Otto reactor – a standard benchmark case study for RTO algorithms – illustrates that KMAy is safer for practical applications.
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