Modeling of a dynamic dual-input dual-output fast steering mirror system

A modeling method is proposed for a dynamic fast steering mirror(FSM) system with dual inputs and dual outputs. A physical model of the FSM system is derived based on first principles, describing the dynamics and coupling between the inputs and outputs of the FSM system. The physical model is then r...

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Bibliographic Details
Published in:信息与电子工程前沿：英文版 2017 (10), p.1488-1498
Main Author: Hong SONG Jia-heng ZHANG Ping YANG Hao-cai HUANG Shu-yue ZHAN Teng-jun LIU Yi-lu GUO Hang-zhou WANG Hui HUANG Quan-quan MU Mei-fen FANG Ming-yuan YANG
Format: Article
Language:English
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Summary:A modeling method is proposed for a dynamic fast steering mirror(FSM) system with dual inputs and dual outputs. A physical model of the FSM system is derived based on first principles, describing the dynamics and coupling between the inputs and outputs of the FSM system. The physical model is then represented in a state-space form. Unknown parameters in the state-space model are identified by the subspace identification algorithm, based on the measured input-output data of the FSM system. The accuracy of the state-space model is evaluated by comparing the model estimates with measurements. The variance-accounted-for value of the state-space model is better than 97%, not only for the modeling data but also for the validation data set, indicating high accuracy of the model. Comparison is also made between the proposed dynamic model and the conventional static model, where improvement in model accuracy is clearly observed. The model identified by the proposed method can be used for optimal controller design for closed-loop FSM systems. The modeling method is also applicable to FSM systems with similar structures.
ISSN:2095-9184
2095-9230