The Temperature Distribution Control Of Tubular Polymerization Reactor Based On The Pole Placement

This paper studies distributed temperature control problem in tubular reactor, which is based on the cation pipe reactor at laboratory scale. However, at present, since the direct way of online measurement is absent, it is crucial to find a method that can measure indirectly in industrial polymer production. As we known, the change in temperature is very important to the reaction velocity and the outcome categories in chemical reaction, so the reactor's temperature is chose as the substituted parameter. Furthermore, one of the characteristics of the tubular reactor is that the pipe temperature can be controlled segments by segments, so reaction velocity and molecular weight distribution can be controlled through this way. Hence, establishing the temperature distribution model of tubular reactor along the pipe is more significant in the research of polymeric molecular weight distribution.The main contributions of the paper are as follows:1 The weight vector is attained by fitting of the temperature distribution with the characters of B-spline's fitting continuous function. And then the model of weighted temperature distribution along the tube of tubular reactor and the system input are established using the least square identification method based on the combination of B-spline neural network and recurrent neural network.2 The model is controlled through the state feedback after it has been established. Then the way of choosing the location of expected pole in high-order system and the method of getting the feedback and gain matrixes when allocating the poles with reference input are introduced. Simulations are also given to show the results of designed controller.3 The structure of the controller is improved by introducing the integral part for the existence of residual error in the simulation and interference in real production. Simulation is given to show the good performance of the proposed controller.With the above studies, this paper is developed in accordance with the steps of identifying control objectives, building model and design controller. At last, simulation results prove the feasibility of the program.