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�������պ����ѧѧ�� 2012, Vol. 38 Issue (1) :133-137    DOI:
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��С��, ����ϼ, ����ũ, ����*
�������պ����ѧ �ɿ�����ϵͳ����ѧԺ, ���� 100191
Stability analysis on scale factor of accelerometer based on fuzzy theory
Huang Xiaokai, Chen Yunxia, Zhang Shunong, Kang Rui*
School of Reliability and Systems Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� Fuzzy theory was used to analyze the scale factor stability of accelerometer, since many affected factors of scale factor of accelerometer emerged some uncertainty nature, which can be describe by fuzzy theory. Specifically, triangular fuzzy numbers was used to derive the changing interval of magnetic flux density and thermal expansion coefficient of quartz material, which is the dominant affected factors for scale factor stability, according to the different combination of triangular fuzzy numbers results, ANSYS magnetic-structure coupling simulation was introduced to get the different accelerometer simulation output, and then obtained the scale factor fuzzy stability interval, which was applied to the analysis of scale factor stable condition in the accelerometer accelerated stability test and the conclusion was properly. The conclusion illustrate that fuzzy theory analysis of scale factor stability can provide appropriately condition in the accelerometer accelerated stability test, for neither waste the cost of the test nor inadequate for the result, the conclusion also have great significance to the improvement of accuracy level for the long-term stability of accelerometer scale factor.
Keywords�� accelerometer   stability   triangular fuzzy numbers   magnetic-structure coupling simulation   accelerated stability criterion     
Received 2010-09-19;
About author: ��С��(1986-),��,����������,˶ʿ��,huangxiaokai1986@126.com.
��С��, ����ϼ, ����ũ, ����.����ģ�����۵ļ��ٶȼƱ�������ȶ��Է���[J]  �������պ����ѧѧ��, 2012,V38(1): 133-137
Huang Xiaokai, Chen Yunxia, Zhang Shunong, Kang Rui.Stability analysis on scale factor of accelerometer based on fuzzy theory[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2012,V38(1): 133-137
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