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Proceedings Paper

Sensor fault diagnosis for fast steering mirror system based on Kalman filter
Author(s): Hongju Wang; Qiliang Bao; Haifeng Yang; Sunjie Tao
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Paper Abstract

In this paper, to improve the reliability of a two-axis fast steering mirror system with minimum hardware consumption, a fault diagnosis method based on Kalman filter was developed. The dynamics model of the two-axis FSM was established firstly, and then the state-space form of the FSM was adopted. A bank of Kalman filters for fault detection was designed based on the state-space form. The effects of the sensor faults on the innovation sequence were investigated, and a decision approach called weighted sum-squared residual (WSSR) was adopted to isolate the sensor faults. Sensor faults could be detected and isolated when the decision statistics changed. Experimental studies on a prototype system show that the faulty sensor can be isolated timely and accurately. Meanwhile, the mathematical model of FSM system was used to design fault diagnosis scheme in the proposed method, thus the consumption of the hardware and space is decreased.

Paper Details

Date Published: 15 October 2015
PDF: 7 pages
Proc. SPIE 9676, AOPC 2015: Optical Design and Manufacturing Technologies, 96760B (15 October 2015); doi: 10.1117/12.2197801
Show Author Affiliations
Hongju Wang, Key Lab. of Optical Engineering (China)
Institute of Optics and Electronics (China)
Univ. of Chinese Academy of Science (China)
Qiliang Bao, Key Lab. of Optical Engineering (China)
Institute of Optics and Electronics (China)
Haifeng Yang, Southwest China Institute of Electronic Technology (China)
Sunjie Tao, Southwest China Institute of Electronic Technology (China)


Published in SPIE Proceedings Vol. 9676:
AOPC 2015: Optical Design and Manufacturing Technologies
Lin Li; Kevin P. Thompson; Ligong Zheng, Editor(s)

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