An intelligence expert system based on hoop standard granulator

According to the analysis of the structure and technology, and then obtaining the energy consumption calculation formula, it comes to conclusion that the hoop standard granulator is a multivariate system with large time delay, which is also uncertain and nonlinear. Aiming at the problem that the hoop standard granulator cannot be controlled well by traditional methods, a technique was proposed, based on controlling the hoop standard granulator automatically by the expert system and SVM method. For good prediction performance, SVM with genetic algorithm is chosen to build the prediction model of output temperature and the main motor current, which is set as soft sense in the expert system. The expert system could be intelligent to solve the decoupling problem, by controlling feature identification, information processing machine, knowledge base, control rule and inference machine. In order to verify the design, based on reliable real-site data some experiments are conducted under the situation of disturbance. Finally the effect of expert control system and SVM is validated by simulation.