Experimental evaluation of augmented UD identification based vibration control of smart structures

An experimental evaluation of adaptive generalized predictive control (AGPC) for vibration suppression of smart structures was presented. The controller development follows the generalized predictive control methodology with the plant represented by a controlled auto-regressive integrated moving average model. The one-step-ahead plant model was obtained online using augmented UD identification in real time. This efficient and robust technique was capable of coping with system uncertainty and time variation. The basic idea in adaptive control was to estimate the plant parameters based on the measured signals and to calculate the control input using the estimation.