Abstract
Control structure design for the large-scale hydrodealkylation of toluene (HDA) process has been extensively studied. The systematic procedure based on self-optimizing control was successfully applied to the HDA process with a promising control configuration. Besides of the active constraints identified, the remaining self-optimizing controlled variables are selected as the mixer outlet methane mole fraction and the quencher outlet toluene mole fraction, which are nonetheless single measurements. In this paper, we consider control reconfiguration for the HDA process by selecting measurement combinations as CVs to improve the process optimality. To this end, the recently proposed global self-optimizing control (gSOC) approach is employed for CV selection and the partial bidirectional branch and bound algorithm (PB3) is used for fast-screening measurement candidates. Numerical controlled variables are derived and the economic optimality is improved by the reconfiguration.
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