Abstract
In industry limited process knowledge is often an obstacle to the application of model based control and state estimation. In this case study, temperature control of an industrial semibatch reactor assuming unknown reaction kinetics is treated. It is shown that model based techniques can be applied successfully even in this situation if all available knowledge is used in an optimal way. The benefits of easily being able to incorporate inequality constraints into receding horizon optimization based strategies are illustrated. The arising dynamic optimization problems are solved in the unified framework of a Newton-type algorithm.
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