A New Design of Predictive Functional Control Strategy for Batch Processes in the Two-Dimensional Framework

To cope with the control of batch processes under uncertainty, a novel two-dimensional (2-D) predictive functional iterative learning control (ILC) scheme is developed. By introducing a new model formulation and error compensation approach, the proposed strategy in which predictive functional control and ILC are combined through the 2-D framework compensates for the influence caused by various uncertainty gradually between cycles in the batch processes. Meanwhile, the improved state-space model is also employed effectively to enhance the control performance. Through the independent weighting on the state variables and the set-point tracking error in the performance index, additional degrees of freedom can be offered for the controller design. The effectiveness of the proposed 2-D method is tested on the injection velocity regulation in an injection molding process.