Real-time Optmization of Continuous Processes via Constraints Adaptation

A. MARCHETTI; B. CHACHUAT; D. BONVIN

Cancún

Simposio; 8th International Symposium on Dynamics and Control of Process Systems - DYCOPS 2007; 2007

IFAC

In the framework of process optimization, measurements can be used to compensate for the effect of uncertainty. The method presented in this paper combines a process model and measurements to iteratively optimize the operation of continuous processes. Unlike many existing real-time optimization schemes, the measurements are not used to update the process model, but to adapt the constraints in the optimization problem. All the constraints are respected upon convergence, even in the presence of large model mismatch.Moreover, it is shown that the proposed approach can handle changes in the set of active constraints. It is illustrated, via numerical simulation, for the optimization of a continuous stirred-tank reactor.