Application of Some Parameter Adaptive Control Algorithms in Machining

Abstract

Several parameter adaptive control strategies are applied to the problem of regulating cutting forces in end milling under varying cutting conditions. These strategies are shown, using real time control experiments, to be stable with good performance characteristics. It is also shown that the oscillatory response of the adaptive control (AC) system at low feedrates can be substantially improved using a nonlinear controller. Finally, the effect of cutter flexibility on the AC system response is investigated. It is concluded that a first-order model is adequate to represent the cutting process dynamics for a certain range of cutter stiffness.