Neuro-fuzzy network control strategy for electric discharge machining process

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 neuro-fuzzy network control system structure in the EDM process is designed which is composed of three parts: neural network prediction and evaluation, neuro-fuzzy network monitoring, and polling list control. The new method of training data acquisition, offline study and online study of the new type controller has been studied. Finally, experimental results show that this system has good self-adaptability and high reliability, which will result in higher productivity.