关键词: 超声-电火花复合加工, 模糊控制, 人工神经网络

Abstract: Ultrasonic Vibration Assisted Electric Discharge Machining is a 3C (Complex Plant, Complex Task, Complex Environment) system. The performance of control system is crucial for compound machining. A new FNN controller is developed and the learning algorithm is designed in this paper. The controller can learn it self by using the artificial neural network; the learning result can adjust the controlling rules with the condition changing, which optimize precision and improve the real time characteristic of the system. The correlation model between the machining performance and discharge parameters is established according to the experiment data, which is then applied to control the discharge gap. The experiment results indicate that the machining effect of the new FNN controller is better than that of the traditional machining tool.

Key words: fuzzy control, artificial neural network , ultrasonic vibration assisted electric discharge machining