Application Study Of Intelligent Control For Batch Reactor

Batch reactor is widely used in the productive process of fine chemical industry; however, its ideal controlling requirement is difficult to reach due to the features of non-linearity and large dead-time process in actual operation. Although nowadays a set of relatively effective intelligent control theories and designing concept have been used in actual application, there are still a lot of deficient problems in the present intelligent control system.The variable universe fuzzy intelligent control algorithm refers to applying intelligent control theories to variable universe fuzzy control algorithm which is utilized on the principles of expansion factor and variable universe. Thus, fuzzy controller can be optimized by this kind of algorithm, which is combined with fuzzy switching mode to prevent system disorders caused by switching control factors and simultaneously, this kind of algorithm can eliminate steady state error of system.This thesis points out the control requirements and difficulties in the productive process by analyzing the productive process of batch reactor in the auxiliary workshop of Binzhou Chemical Industry Group in details. The thesis aims at putting forward a whole new set of control scheme rationally and feasibly by applying variable universe fuzzy intelligent control algorithm in controlling the temperature during the temperature-rise period.The batch reaction procedure control system in the thesis mainly includes the Zhejiang control system and takes advantage of lots of hardware such as a variety of Intelligent Instrumentations. This system has various capabilities, such as simulation, control, algorithm verification, database management. The results of the system in actual operation show that its control effect is efficient. Therefore this system can fully meet the technological requirements.