Supervisory adaptive control for the structural vibration of a coordinate-measuring machine

Abstract

A supervisory adaptive control approach has been developed for a structural vibration control of a coordinate measuring machine, which is a dynamic system with time varying system model order and parameters. An on-line dynamic data system modelling algorithm is used to identify the system model order and parameters simultaneously. Based on the identified model, a predictive control algorithm is applied to generate control commands. A supervisory strategy with several monitoring indices and decision-making rules is proposed to supervise the modelling and control processes. The developed supervisory adaptive control approach has been implemented in a digital signal processor board for structural vibration control. Experimental results indicate a 75% reduction in the peak-to-peak vibration and an 80% reduction in the settling time.