Robust adaptive control for nonlinear end milling process

Author

Kooi, Steven B L

Author_Institution

Dept. of Mech. Eng., Concordia Univ., Montreal, Que., Canada

Volume

5

fYear

1995

fDate

21-23 Jun 1995

Firstpage

2995

Abstract

This paper describes the development of robust adaptive control strategy for closed loop control of milling process. Online open loop identification experiment was carried out on the Mazak milling machine and an ARMAX model relating the feedrate and cutting force was developed. Two different adaptive control design strategies are being considered, namely the adaptive minimum variance control based on discrete linear time invariant model and the robust adaptive model reference control based on the nonlinear time varying model. The identification experiment as well as simulation results of the controller design are presented and its potential application is discussed

Keywords

adaptive control; autoregressive moving average processes; closed loop systems; machine tools; machining; model reference adaptive control systems; nonlinear control systems; process control; robust control; ARMAX model; Mazak milling machine; adaptive control; adaptive minimum variance control; closed loop control; cutting force; discrete linear time invariant model; feedrate; model reference control; nonlinear end milling process; nonlinear time varying model; robust control; Adaptive control; Force control; Frequency; Milling; Open loop systems; Programmable control; Robust control; Robust stability; Sampling methods; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, Proceedings of the 1995

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2445-5

Type

conf

DOI

10.1109/ACC.1995.532062

Filename

532062