DocumentCode :
389315
Title :
Self-learning error compensation in CNC grinding
Author :
Tian, Xin-Cheng ; Peng, Bo ; Xu, Qing
Author_Institution :
Sch.of Control Sci. & Eng, Shandong Univ., Jinan, China
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1044
Abstract :
In this paper, a new intelligent self-learning error compensation algorithm for CNC grinding of ceramic chips is introduced. In the process of ceramic chip computer numeric control (CNC) grinding, the dimension of the chip tends to get larger and the dimensional error to exceed the tolerance as the number of the machined chips accumulates. There are many factors leading to the occurrence of the error and the law of error variation is very complicated. With an introduced the intelligent self-learning error compensation technique, the CNC system can improve the control strategy to compensate the error automatically. The simulation result shows the effectiveness of this algorithm.
Keywords :
computerised numerical control; error compensation; grinding; inference mechanisms; intelligent control; unsupervised learning; CNC machining; ceramic chip; error compensation; error variation; grinding; intelligent control; reasoning; self-learning; Automatic control; Ceramics; Computer errors; Computer numerical control; Error compensation; Error correction; Intelligent control; Machine intelligence; Machining; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1174542
Filename :
1174542
Link To Document :
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