Towards integrated dynamic real-time optimization and control of industrial processes

This paper presents a two-level approach for integrating model based dynamic real-time optimization (DRTO) and control of industrial processes, which is being developed in the INCOOP* project. In the presence of disturbances and changing parameters, a re-optimization at the D-RTO level may be necessary for optimal operation. A sensitivity based hybrid strategy is presented for triggering a D-RTO and quickly calculating feasible control updates. This avoids unnecessary re-optimizations. Results from dynamic optimization and sensitivity analysis of an industrial process are presented.