Supervisory method and system for improved control model updates applied to dynamic balancing

Abstract

A method for dynamically balancing a rotating system through strategic control model updates, wherein said system contains sensors and sensor measurements whose responses to control actions are used to represent the system through a control model, where said control model and sensor measurements are used to determine future control actions is disclosed. The performance of the control model is evaluated using sensor measurements and responses; the evaluation is further used to determine if it is necessary to update the control model. The ongoing performance of the current control model is anticipated utilizing rate-of-change metrics obtained by evaluating said sensor measurements and responses. When a new control model is needed, further evaluation is done to determine if sensor measurements and responses are adequate for updating the control model. When control model performance is poor and past control actions not adequate to update the control model or when system-operating conditions have changed substantially and control performance is questionable, select control actions are computed. These control actions excite the rotating system to provide sufficiently different sensor measurement response adequate to update the control model. In both cases, the select control action minimizes the negative effects on the balance system. The performance evaluations and select control actions are incorporated into a balance control procedure, thereby improving balance times and facilitating achievement of maximum spin speeds in a self-balancing system.