DocumentCode :
441724
Title :
Maximum-entropy based adaptive control of machining process
Author :
Zhou, Jian-Hui ; Yao, Xiao-Qun ; Li, Wei-Guang ; Yao, Xi-Fan
Author_Institution :
Coll. of Mech. Eng., South China Univ. of Technol., Guangzhou, China
Volume :
2
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
1230
Abstract :
With the aim of validating the feasibility of applying a maximum-entropy-based adaptive control program to the constant force control of a machining process, the maximum-entropy criterion is first introduced. The control flow of the machining process and the mathematic model of the machine tool for experiment are then explained. Finally, both simulation and experiment results are studied to compare the proposed controller and the conventional PID controller. It thus indicates that maximum-entropy based controller is appropriate for the machining process.
Keywords :
adaptive control; machine tools; machining; maximum entropy methods; three-term control; adaptive control; constant force control; conventional PID controller; machine tool; machining process; maximum-entropy method; Adaptive control; Control theory; Entropy; Equations; Force control; Force feedback; Fuzzy control; Machining; Neural networks; Performance analysis; Intelligent; Machining Process; Maximum-Entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527131
Filename :
1527131
Link To Document :
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