Optimal Control Methods Of Polymerizer Temperature

Batch process (Batch Processes) are widely used in fine chemicals, biological products, pharmaceutical production, deep processing of agricultural products and other fields. In recent years, to meet the multi-species, multi-high-quality specifications and market requirements, intermittent attention to the process of production abroad has become a mature production scale batch.However, due to a batch reactor process complexity, time-delay and non-linear characteristics, there is a modeling and control problems, the existence of the current batch of production is not high production efficiency, energy consumption and so on.The topic for the intermittent polymerization reactor to start the temperature of optimal control to a company plant TBSI the batch reactor for the study. It is by the o-dichlorobenzene, and carbon disulfide in sodium polysulfide polymerizer steam in the jacket by adding an appropriate degree of heat, the occurrence of a complex chemical reaction generates M promoter of the sodium salt and its by-products. Large differences in material properties, the reaction is exothermic process, the reaction process of reaction the main competition, it must try to curb side effects, but the main response to the higher activation energy and higher expectations of the reaction temperature. Intertwined with a variety of factors, making it difficult to control the reaction temperature, and the scene has been the use of manual workers. Research on the subject has an important significance in practical applications.Response for this intermittent problem appeared in the above, the paper work to complete the following:1. Of intermittent polymerization process to conduct in-depth analysis of the reacrion the main product of the process of concentration, reaction temperature polymerizer process and relationship between the pressure to determine the course of a polymerization conversion rate for the main objective, by controlling the reaction temperature to achieve intermittent polymerization process optimization of control programs.2. The use of Radial Basis Function (RBF) neural network to establish the main product of concentration and reaction temperature between the mathematical model, based on this model, using particle swarm optimization (PSO) on the temperature response curve to optimize the solution obtained can be highly efficient conversion process, the optimal temperature curve.3. In the process to obtain the optimal temperature curve, based on the use of RBF neural network control of reactor cooling water temperature phase of the response model; and the basis of this model, the use of non-linear predictive control algorithm to achieve the optimal batch reactor temperature curve tracking control, combined with Visual Basic and Matlab software development process control procedures and control in the multi-purpose experimental apparatus (MPCE) on the control algorithm; and heating rate as a benchmark in the special PID regulator control results. The experimental results show that whether it is in the main product of the conversion rate or the control system robustness have been improved significantly to optimize the effect.