Batch Process Optimization Based on Support Vector Regression Model

A support vector regression model based on batch to batch optimal control strategy was proposed.Because of model mismatching and unknown disturbances,the control performance of optimal control profile calculated from empirical model is deteriorated.Due to the repetitive nature of batch processes,it is possible to improve the operation of the next batch using the information of the current and previous batch runs.A batch to batch optimal control strategy based on the linearization of the model around the control profile is proposed.Applications to a simulated batch styrene polymerization reactor demonstrate that the proposed method can improve process performance from batch to batch in the presence of model mismatching and unknown disturbances.