Robust adaptive control for nonlinear end milling process

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