Application Of Intellectual Control Technology For Raw Material Distribution System

Application of intellectual control technology in the raw material distribution system is dealt with. According to the control request of the different chutes of whole system, immune fuzzy control and neural network control are respectively adopted to be studied theoretically. Finally, the good control result in practical application has been reached.The main research work and contributions of this dissertation list as follows:1. A survey of the production , development, current situation and future trend of intellectual control technology is summarized in brief, especially for fuzzy control technology and neural network control technology .2. The study in this dissertation is a part of the year 2004 to 2005 technology reformation Project of Fujian Sanming MingGuang Steel Group Fire Filiale. Here, intellectual control technology is applied to control the raw material distribution system.3. An introduction of the principle and design of immune fuzzy PID control is given.4. An introduction of the principle and design of neural network control is given. Especially, the character and learning arithmetic of Radial Basis Function neural network and the application of Radial Basis Function neural network in the model predictive control are introduced emphatically.5. An introduction of system structure and function of computer monitoring system for raw material distribution system.6. In order to meet the control requirement of the different chutes, immune fuzzy PID control and Model predictive control based on Radial Basis Function neural network strategy is adopted to carry on designing and simulation research. And consequently, systematic feasibility and validity is confirmed, and the actual application also achieves good effect.