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
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