中文摘要：

超声-电火花复合加工控制系统是1个典型的高度非线性、强耦合的时变复杂系统，控制系统的性能是决定复合加工性能好坏的关键．针对超声-电火花复合加工系统的这一特点，设计了新型拱糊神经网络控制器,神经网络采用添加动量项的LMS算法（最陡下降法）自学习得到模糊控制规则，并随系统变化对其进行优化．该控制算法优化了控制过程，提高了控制系统的实时性．通过普通电火花加工设备提取出加工效果试验数据，建立加工效果与放电参数之间的关系模型，对放电间隙进行实时控制，试验结果表明新型控制器的控制效果优于传统加工效果．

英文摘要：

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.