Optimization and control for real time integrationof the biotechnological process of acrylic acidsynthesis: a two-layer approach using modelpredictive control application

摘要

In this paper is presented the modeling, optimization and control of an alternativeprocess for the acrylic acid biotechnological synthesis. The model is based on theconcepts of structured representation, and adapted from a structured growth model. Thebioreactor is continuously operated and for the control of its high productivity,strategies of control and optimization involving two-layer approach are proposed andevaluated. In this approach the control is set in a hierarchical structure, where anoptimization layer calculates the set point for the advanced control. The SuccessiveQuadratic Programming (SQP) and Levemberg-Marquardt Method are used asoptimization algorithms and the advanced control is based on the Dynamic MatrixControl (DMC). The proposed two-layer approach for real time optimization showed tobe able to achieve high operational performance for the alternative biotechnologicalprocess to acrylic acid synthesis.