DocumentCode :
2556532
Title :
Dynamic modeling and adaptive predictive control (APC) of drilling of composite materials
Author :
Sheng, Ye ; Tomizuka, Masayoshi ; Ozaki, Motoyoshi
Author_Institution :
Dept. of Mech. Eng., California Univ., Berkeley, CA, USA
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2568
Abstract :
Dynamic modeling and adaptive predictive control of drilling force of composite materials are developed. A linear dynamic model is applied to predict the drilling force as a function of the drill feedrate. It can predict force locally for the tuned case under the condition of small variation of operation range. An adaptive strategy is used to estimate model parameters in real time so that the linear model may be applied to the whole drilling process in the situation of large variation of operation range. The loop gain is assumed to be locally time invariant in the prediction horizon and a multi-step ahead prediction model is proposed. An adaptive predictive control strategy is utilized to regulate the thrust force in the drilling process. Simulation and experimental results are presented
Keywords :
adaptive control; composite materials; dynamics; force control; least squares approximations; machining; parameter estimation; predictive control; two-term control; PI controller; adaptive control; composite materials; drilling; dynamic modeling; linear dynamic model; parameter estimation; predictive control; recursive least squares; Adaptive control; Composite materials; Delamination; Drilling; Force control; Laminates; Optical fiber testing; Predictive control; Predictive models; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
ISSN :
0743-1619
Print_ISBN :
0-7803-5519-9
Type :
conf
DOI :
10.1109/ACC.2000.878671
Filename :
878671
Link To Document :
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