Auto-Tuning Adaptive Supervisory Control of Single-Plane Active Balancing Systems


Adaptive influence-coefficient methods have proven successful at controlling unbalance-induced vibration of rotating machinery without requiring a priori knowledge of machine dynamics. If initial influence estimates are inaccurate, however, vibration may become worse temporarily before the estimation converges. An auto-tuning method is presented here that adjusts adaptive “gain” parameters during control convergence. The auto-tuning method limits worstcase vibration while allowing the same convergence rate as conventional “fixedparameter” adaptive control. A supervisory control method is also introduced that automatically selects vibration thresholds for enabling and disabling control based on estimated plant dynamics. Experimental results verify the effectiveness of the auto-tuning approach.

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@inproceedings{DYER2000AutoTuningAS, title={Auto-Tuning Adaptive Supervisory Control of Single-Plane Active Balancing Systems}, author={STEPHEN W. DYER and Jun Ni and ZHENHU ZHUANG and Jianjun Shi and Stephen W. Dyer}, year={2000} }