Two-Dimensional Model Predictive Iterative Learning Control based on Just-in-Time Learning Method for Batch Processes

Abstract

In this paper, the predictive control problem of two-dimensional iterative learning model based on just-in-time learning (JITL) model is studied for batch processes. A new error compensation strategy is proposed based on two-dimensional JITL model by using MPC-ILC integrated control method. Batch axis and time axis are integrated into a comprehensive objective function, and the JITL model is used to solve the problem of large computation of comprehensive objective function. The proposed control algorithm is applied to a typical batch reactor, and the results show that the proposed control strategy has good control performance.