Performance Assessment Measures of Batch Processes for Iterative Learning Control

Abstract

A new method is proposed for the assessment of the batch control system when the iterative learning control is applied. Unlike the continuous process, the performance assessment of the batch process requires particular attention to both disturbance changes and setpoint changes. Because of the intrinsically dynamic operations and the nonlinear behavior of batch processes, the conventional approach of the controller assessment cannot be directly applied. The bounds at each time point are derived and computed for the controlled output variance to create simple monitoring charts. They can help tracking the progress in each batch run to monitor the occurrence of the observable upsets. Simulation cases are used to demonstrate the advantages of the proposed strategies.