An effective technique for batch process optimization with application to crystallization

An iterative dynamic optimization methodology is developed for on-line opti mization of batch processes in the presence of plant-model mismatch and mea surable error. In the proposed method, the plant-model mismatch is effectiv ely eliminated by using information from previous batches to modify the tra jectories that are applied to the subsequent. ones. In addition, the effect of modelling error on the convergence of this algorithm is investigated. T he utility of the proposed method is illustrated through the end-point opti mization problem in the batch crystallization process, and comparisons to o ther optimization methods are made.