Title :
A hierarchical intelligent control system for milling machine
Author :
Li, Zuo ; Tao, Cheng ; Jing, Zuo ; Yanming, Liu ; Shuzi, Yang
Author_Institution :
Sch. of Mech. Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
A new intelligent adaptive CNC system designed for a milling machine is presented. It is the first time a neural network controller has been applied successfully in the milling process. The direct neural network controller can obtain a constant milling force under varying milling conditions and adjusts its weights on-line without a specific pretraining stage or plant modeling. For improving the system´s intelligence level and its practicability, an expert controller is added so that the control system has a hierarchical structure. The milling experimental results show that the system has better control characteristics and can raise machining efficiency and tool protection
Keywords :
adaptive control; computerised numerical control; hierarchical systems; intelligent control; machine tools; machining; neurocontrollers; CNC; computerised numerical control; constant milling force; expert controller; hierarchical intelligent control system; intelligent adaptive control; milling machine; milling process; neural network controller; tool protection; weight adjustment; Adaptive systems; Computer numerical control; Control systems; Force control; Intelligent control; Intelligent systems; Machine intelligence; Metalworking machines; Milling; Neural networks;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672903