27 June 2002 Recursive methods for optical jitter suppression using acoustic actuators
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Abstract
The recursive generalized predictive control algorithm, conjugating the process of system identification and the process of the controller design, is presented and applied to real time. In the control design process, there are three parameters to be chosen: the prediction horizon, the control horizon, and the input weighting factor. The prediction horizon and the control horizon are the finite horizons of the system output and control input predictions. Two practical parameters are defined to express effects of the prediction horizon and the control horizon. A time varying algorithm for the input weighting factor and a dual-sampling-rate algorithm are presented. A time varying input weighting factor algorithm allows the recursive generalized predictive controller to be designed aggressively. A dual-sampling-rate algorithm between data acquisition and control design allows higher-order controllers to be designed. The recursive generalized predictive control algorithm is applied to two different systems: a sound enclosure and an optical jitter suppression testbed. For each experiment, the estimation of the frequency response magnitude corresponding to the open loop identified system and the closed loop identified system is shown and compared. The advantages of the proposed recursive generalized predictive control algorithm are: no prior system information is required since the process of the system identification is performed recursively from real time system input and output data, and the controller is updated adaptively in the presence of a changing operating environment.
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Suk-Min Moon, Suk-Min Moon, Robert L. Clark, Robert L. Clark, } "Recursive methods for optical jitter suppression using acoustic actuators", Proc. SPIE 4697, Smart Structures and Materials 2002: Damping and Isolation, (27 June 2002); doi: 10.1117/12.472656; https://doi.org/10.1117/12.472656
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