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	Sensor Fault Diagnosis for Fast Steering Mirror System Based on Kalman Filter
	Wang Hongju; Bao Qiliang; Yang Haifeng; Tao Sunjie
	2015
会议名称	AOPC 2015: OPTICAL DESIGN AND MANUFACTURING TECHNOLOGIES
会议日期	2015
卷号	9676
页码	96760B
中文摘要	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.
英文摘要	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.
收录类别	SCI
学科主题	OBSERVER
语种	英语
ISSN号	0277-786X
内容类型	会议论文
源URL	[http://ir.ioe.ac.cn/handle/181551/7416]
专题	光电技术研究所_光电工程总体研究室（一室）
推荐引用方式 GB/T 7714	Wang Hongju,Bao Qiliang,Yang Haifeng,et al. Sensor Fault Diagnosis for Fast Steering Mirror System Based on Kalman Filter[C]. 见:AOPC 2015: OPTICAL DESIGN AND MANUFACTURING TECHNOLOGIES. 2015.

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