The research on the neuro-fuzzy network control strategy for electric discharge machining process

In this paper, the viewpoint of human-machine system is used to study the optimizing design scheme in implementing the fuzzy control in the EDM (Electric Discharge Machining) process by means of human-machine combination. A new type of the neuro-fuzzy network control system structure in the EDM process is designed which is composed of three parts of neural network predicting and evaluating, neuro-fuzzy network monitoring and polling list controlling. The new method of training data acquisition, off-line study and on-line study of the new type controller has been studied. Finally, experiment results show that this system has good self-adaptability and high reliability, which will result in the higher productivity.