15 October 2015 Sensor fault diagnosis for fast steering mirror system based on Kalman filter
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Proceedings Volume 9676, AOPC 2015: Optical Design and Manufacturing Technologies; 96760B (2015) https://doi.org/10.1117/12.2197801
Event: Applied Optics and Photonics China (AOPC2015), 2015, Beijing, China
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.
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Hongju Wang, Hongju Wang, Qiliang Bao, Qiliang Bao, Haifeng Yang, Haifeng Yang, Sunjie Tao, Sunjie Tao, } "Sensor fault diagnosis for fast steering mirror system based on Kalman filter", Proc. SPIE 9676, AOPC 2015: Optical Design and Manufacturing Technologies, 96760B (15 October 2015); doi: 10.1117/12.2197801; https://doi.org/10.1117/12.2197801
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