Intra-batch correction optimization of batch process with manipulated variable trajectory parameterization based on mutual information

Aiming at the problem that the intra-batch disturbance of batch processes affects the end-point optimization effect, a method of intra-batch correction optimization of batch process with manipulated variable trajectory parameterization based on mutual information is proposed. According to the mutual information and correlation coefficient between the manipulated variable and the index variable, the time period on the manipulated trajectory that has a similar effect on index variable is divided. Then, combine with the morphological characteristics of the manipulated variable trajectory, fewer parameters are selected to establish an optimization model to reduce the complexity of optimization model solution. Considering that noise interference in the production process affects the final optimization effect, the decision point is set in the batch and the unimplemented manipulated variable trajectory after the decision point is adjusted according to the current working condition information to reduce the impact of intra-batch disturbances on the final optimization effect. Finally, the proposed method is applied to the optimization of crystallization process of bisphenol A in a chemical plant. The simulation results validate the effectiveness of the method. Copyright ©2021 Control and Decision.