Research On Optimal Control Of Dual-cooling CSTR Reaction Temperature

Continuous stirred tank reactor(CSTR)is an important reaction device for physical and chemical changes in chemical production.The most important parameter in the CSTR system is the reaction temperature,the control quality directly affects the quality of the product and the safety of the production process.With the rapid development of special chemical industries such as strong heat release and the continuous increase of single kettle capacity,the number of dual-cooling CSTRs equipped with jacket and coil has been increasing,the dual cooling structure provide conditions for the optimization of CSTR polymerization temperature control.This article mainly studies how to use the jacket and coil cooling device to realize the optimal control of the reaction temperature of the CSTR system.First,the mathematical model of the CSTR reaction temperature control cooling process was established by the mechanism method,which are based on the analysis of the process flow and working principle of the dual-cooling CSTR.In order to give full play to the complementary advantages of the coil and jacket cooling device,weaken the disadvantages of them cooling alone.On the one hand,this control strategy uses the faster response speed of the coil cooling device to quickly eliminate the dynamic deviation.On the other hand,the jacket cooling device with high cooling efficiency bears the main cooling load when the reaction proceeds smoothly,which reduces the cooling water consumption.It can make the controlled process obtain better control quality in both dynamic response and static performance.Finally,to further improve the dynamic performance of the dual-cooling CSTR reaction temperature dual control system,The BP neural network control algorithm with strong nonlinear approximation ability is used to optimize the main controller,and the BP neural network PID controller is used to adjust the control parameters online to speed up the convergence of the control system and improve the adaptive ability of the reaction temperature control process.Theoretical analysis and simulation experiment results show that the dual-cooling CSTR reaction temperature dual control system based on BP neural network control has fully utilized the cooling characteristics of the jacket and coil cooling device,which realizes the reaction temperature control system with short adjustment time.And the control effect of small volume adjustment and strong anti-interference achieves the purpose of energy saving and consumption reduction,which has an important theoretical significance and industrial application value for improving the stability and safety of the CSTR exothermic reaction process.