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题名:
Sensor Fault Diagnosis for Fast Steering Mirror System Based on Kalman Filter
作者: Wang Hongju; Bao Qiliang; Yang Haifeng; Tao Sunjie
出版日期: 2015
会议名称: AOPC 2015: OPTICAL DESIGN AND MANUFACTURING TECHNOLOGIES
会议日期: 2015
学科分类: OBSERVER
DOI: 10.1117/12.2197801
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
语种: 英语
卷号: 9676
ISSN号: 0277-786X
文章类型: 会议论文
页码: 96760B
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7416
Appears in Collections:光电工程总体研究室(一室)_会议论文

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Recommended Citation:
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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