Abstract: An adaptive state feedback controller (ASFC) with Kalman filter
observer is presented for machining process control. The state
equations of the process are derived from the second order
transfer function. The analysis shows that the machining process
is observable and controllable. The state variables are
estimated by a Kalman filter observer. The objective of adaptive
control for the machining process is given as a desired second
order system and the adaptive controller is considered as a
trace system with non-zero reference input. Then the adaptive
control law is calculated by poleassignment method in state
space. The algorithms of the observer and controller are plugged
into a real-time platform, intelligent machining module (IMM),
as the plue-in-modules (PIMs) to build up the ASFC control
system for off-line real time simulations and machining tests in
the laboratory. The simulations and experiments under under
different cutting conditions demonstrate that the controller is
stable, reliable and robust.
Key words: CNC
machining Adaptive control Intelligent machining Pole-assignment Kalman filter
Manuscript received on
September 25, 1998; revised manuscript January 15, 1999
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