Abstract:

In this paper,the force resulting from the electrolyte and loaded on the cathode surface is used to express the size of the interelectrode gap in ECM (Electrochemical Machining).The nonlinearity mapping between the force and the interelectrode gap is first implemented by a BP neural network.and a fuzzy controller is then de-signed to control the gap,with the voltage increment as the output and the force eror transferred from the eror of the interelectrode gap and the change of force eror as the inputs.Moreover,a simulation model is set up based on the theoretical expression of the interelectrode gap.An intelligent control system consisting of the BP neural net-work,the fuzzy controller and the ECM system is finally tested based on the Simulink module of Matlab to adiust the three increment parameters of the fuzzy controller.Simulated results show that the interelectrode gap can be well controlled by the proposed method,with high speed,good robustness and with no stable ero

Key words: fuzzy control, neural network, electrochemical machining, gap control, simulation