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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
         
        
            Conference_Location : 
Guangzhou, China
         
        
            Print_ISBN : 
0-7803-9091-1
         
        
        
            DOI : 
10.1109/ICMLC.2005.1527131