Integrated Tracking Control for Batch Processes in the Presence of Model Uncertainties

An integrated control strategy is proposed to track product quality trajectories of batch processes by updating a linear time-varying perturbation (LTVP) model. To address the problem of model uncertainties, the LTVP model is renewed by using recursive forgetting factor algorithm. Then batch-to-batch iterative learning control (ILC) can be feasibly combined with on-line model predictive control (MPC) within a batch. The integrated strategy can complement both methods to obtain good performance of tracking control. The proposed strategy is demonstrated on a simulated batch reactor.