The Research And Application Of Fuzzy Neural Networks In Adhesive Production Process

Adhesive is an essential material in producing plywood. Its production belongs to polymerization process. Of all the factors that influence on the polymerization in adhesive production, the temperature control is the most importantance, and its quality can decide on the product quality.The process of polymerization is both the chemiscal reaction process and the physical change process, the mechanism of polymerization is very complex.The process of polymerization have much to characteristics such as nonlinear, time-varying, noise and delay And it is very difficult to establish the accurate mathematical model of the object. It is also very difficult to control the temperature of the industry process using the single classical PID control theory.This paper is devoted to controlling the temperature of reactors in the process adhesive production.On the base of analizing the temperature variational characteristics and controlling difficulties of reactors, and summarizing the reason why currently different controllers with different control precision, this paper present a kind of fuzzy neural network method, which comibines fuzzy knowledge representation with neural network self-learning ability.Due to the characteristics of system, the method use a Neural Networks Predictor(NNP)which makes the controller sence the change trend of its output states in advance through learning from the networks and predicts the next output of controlled system. The method utilizes the networks to implement the functions of the fuzzy controller and adopt back propagation algorithm (BP) to adjust the parameters of the fuzzy neural networks (FNN).The simulations have been done to compare with the PID, routine fuzzy and FNNC control separately by the SIMULINK platform of MATLAB. We can learn from the artificial result that FNNC has lighter exceeding, no shaking, fine station, short time to reach the stable state, little erro of the stable state. So its dynamic characteristic and static characteristic is the most superior. Therefore it has verified that the feasibility of using FNNC in the complex temperature control system such as the process of the adhesive's production.For further research, a laboratory is established and the supervisory system based on PCI bus board is designed. The system implements the synthesis functions, including the data sampled, data analyzed and saved,control algorithm, controlling the executing outfit,flow displayed,bar-shaped drawing displayed,alarming logs,parameters queried,switching manual/auto control method etc..