Novel system identification for large aperture fast-steering mirror (FSM) is presented in this paper. Using the stochastic parallel gradient descent method (SPGD), the new system identification method is able to identify the complex piezoelectric fast-steering mirror (PZT-FSM) model exactly and greatly improve the correction effect. The principle and mathematical model of the PZT-FSM are stated briefly in the paper firstly. Then the use process of the SPGD algorithm in the system identification for the large aperture PZT-FSM is presented. By using the identified model, the validity and feasibility of the proposed approach is confirmed by our close-loop experiments. To expand the usage of the new method, the input jitter spectrum is also identified using the similar method, which enables us to get a higher correction effect for the special frequency region.
System identification and control for large aperture fast-steering mirror driven by PZT
First published at:Mar 15, 2018
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Supported by National Natural Science Foundation of China (11643008)
Get Citation: Huang Linhai, Fan Muwen, Zhou Rui, et al. System identification and control for large aperture fast-steering mirror driven by PZT[J]. Opto-Electronic Engineering, 2018, 45(3): 170704.