The Study Of Batch Reactor Temperature Control Algorithm

Polyvinyl chloride(PVC) is an important chemical products that widely used in many fields. The most critical aspect in the PVC production process is the reaction temperature, the temperature control performance directly affects the quality of PVC products. Since the polymerization reaction’s mechanism is very complex, the polymerization process has the characteristics of nonlinear, time-varying and time-delay, traditional PID control method relies on accurate mathematical model can not achieve satisfactory control effect. Therefore, looking for a new control strategy realize accurate control of polymerization temperature has important theoretical and practical significance.Firstly, this paper studies the process of vinyl chloride suspension polymerization. Based on the research of the polymerization process and the characteristics of the batch polymerization reactor., using the mechanism modeling method, the relationship model between the reactor temperature and the cooling water flow was established. And the model was further consolidation and simplification.Secondly, since the traditional PID control method relies on accurate mathematical model has large overshoot, and when the process parameters change, the stability and rapidity of the PID will be affected. In order to make up for these deficiencies, this paper designed the adaptive fuzzy PID controller and the neural network adaptive PID controller based on Back Propagation algorithm to further enhance the control effect.Finally, Carried on simulation to the adaptive fuzzy PID controller and the neural network adaptive PID controller based on Back Propagation algorithm, the simulation results show that these two kinds of Intelligent controller PID controller has small overshoot, strong anti-interference ability and robustness, they can regulate the system in time when the object changes or something interfere the system ensure that the reaction temperature is controlled within a reasonable range.