A new concept and control scheme, performance-based control is proposed in
this paper, which is different from geometry-based control (e.g. CNC) and i
nformation-based control (e.g., multi-sensor fusion) and used to control ma
chining processes. Two case studies are offered to show the control scheme
applications: (1) a self-learning predictive control algorithm for position
ing precision of a keyway milling machine driven by uncontrollable AC motor
s and (2) a self-learning fuzzy control algorithm for a 2" CNC dividing hea
d used in workshop conditions. The kernel technology of the two cases will
be described in detail. (C) 1999 Elsevier Science B.V. All rights reserved.