Abstract
In view of the problem that it is impossible to detect the product components online during the chemical rectification process and the low control precision of the conventional control strategy in which the product components are controlled indirectly by temperature, under the premise that the object model is unknown, the gray image encryption recognition algorithm (hereinafter referred to as GIERA for short) is used to study the inferential control strategy for chemical distillation process (hereinafter referred to as ICSCDP for short) in this paper. Aiming at the characteristic of the presence of coupling in the chemical distillation process, the hyperchaotic encrypted image algorithm is used to implement the inferential control of the chemical distillation process. Subsequently, the active disturbance rejection controller (hereinafter referred to as ADRC for short) is designed for the time delay subsystems after the inferential control is carried out. In the simulation experiment, the Wood-Berry model is taken as an example to verify the effectiveness of the algorithm put forward in this paper.
