Two-dimensional general predictive iterative learning control of semi-batch reactor

This work focuses on the temperature control of a semi-batch chemical reactor which is equipped with a heating/cooling system composed of different thermal fluids. An iterative learning control (ILC) system is modeled and designed from a two-dimensional (2D) system point of view. Without extensive modeling investigations, a 2D general predictive iterative learning control (2D-GPILC) strategy is proposed for ensuring the tracking performance of the desired temperature profile. Such a strategy is formulated in the GPC framework with the iterative learning control (ILC) algorithms for the 2D system. Firstly, a linear model structure is developed to describe the complex operation of a general semi-batch reactor. Secondly, the 2D-GPILC algorithm is proposed to optimize simultaneously the dynamic performance along the time and cycle index. Finally, a simulation for the controller design of a semi-batch reactor with multiple reactions is involved to demonstrate the effectiveness of the proposed control scheme.