Modeling And Control Simulation Of Varnish Production Process

Chemical reactor is a device which is widely applied on pharmaceuticals, synthetic materials, paints, fuels and other chemical production processes. It plays an important role in reaction apparatus. In the reactor control system, the most important parameter is the reaction temperature. The control of the temperature directly affects the product quality and production. At the same time, the reaction process is accompanied by a huge amount of suction, exothermic phenomenon. It also has other characteristics like time-delay, time-varying, nonlinear, complex reaction mechanism. Now using the conventional control method to achieve the desired control requirements is very difficult. Currently professional and technical exports in the field of automatic control have made a variety of feasible control methods. Those methods could meet the basic requirements of the production process, but some temperature control plans did not make fun use of the control device and control system, it also can be greatly improved if appropriate plans are chose.Based on varnish production process in a chemical plant, we designed a distributed control system structure. In the same time, we establish a model of the chemical reactor and study the control methods. Firstly, by studying the variation of the reactor temperature characteristics and the control difficulties, and based on the analysis reactor heating jacket on the heat transfer theory. According to the heat balance principle and the reactor heat transfer relationship, we used mechanism modeling method to establish mathematical model. Meanwhile we used the engineering data and theoretical to analysis verify the validity of the model.Finally, we specifically introduced a new predictive control method, namely predictive functional control. Based on the mechanistic model of the batch reactor and the actual control requirements, we designed a predictive function controller. At the same time, we compare the traditional PID control with the predictive function control strategy by comparing simulation analysis and discussion. Experimental results show that compared with conventional single-loop control scheme, the predictive function control method improves the robustness and the adaptability of the system. It could solve the problem of the reactor temperature control. This controller has a certain reference value for other similar control problems.