A Fast Algorithm for On-Line Machining Process Modeling and Adaptive Control

[+] Author and Article Information
S. D. Fassois, S. M. Wu

Dept. of Mech. Engr. and Appl. Mechanics, The University of Michigan, Ann Arbor, MI 48109-2125

K. F. Eman

Mechanical and Nuclear Engr. Dept., Technological Institute, Northwestern University, Evanston, IL 60201

J. Eng. Ind 111(2), 133-139 (May 01, 1989) (7 pages) doi:10.1115/1.3188742 History: Received May 01, 1987; Online July 30, 2009


A fast, on-line algorithm for machining process modeling and control is proposed. The modeling is accomplished via a new recursive estimator that offers good accuracy at a minimal computational load. Its Fast Kalman-type version, that further reduces its computational complexity, is also presented. The adaptive controller, which is based on on-line identification and closed-loop pole assignment, is characterized by a low computational load and no need for a priori process information. The analytical results are supplemented by numerical simulations, where the proposed scheme is used for the control of a turning operation and shown to offer very good performance under noisy conditions and suddenly changing machining dynamics.

Copyright © 1989 by ASME
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