Abstract
AbstractThis paper presents a new simultaneous design and control approach that considers flowsheet synthesis and control structure selection. The key idea on this work is to estimate the worst-case variability in the dynamic feasibility constraints from simulations of the closed-loop process model using the worst-case realization in the disturbances. The critical disturbance profile is obtained from a robust performance formulation based on Structured Singular Value (μ) analysis. The proposed approach reduces the computational time of the calculations because dynamic optimization is not required in the dynamic feasibility test. A system of reactors in series is used to test the proposed simultaneous design and control methodology.
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