Abstract:Aimed at the problems of system amplitude decaying with the change of outside conditions during ultrasonic vibration machining, the method was proposed that analyzed input current of transducer by using artificial neural network, so as to ensure the amplitude of ultrasonic machining varied nearby a range of maximum. Through using artificial neural network training data, the relationship between input current of transducer and adjustment frequency of the ultrasonic generator was established, and the effect was arrived that made the whole system in the resonance state by adjusting frequency of the ultrasonic generator in real time. Finally, the scheme is proved effective through applied to powered ultrasonic honing machine by the stability of input current of transducer and machining accuracy.