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卫星姿态测量系统的故障诊断技术 被引量:4

Fault Diagnosis Technology for Satellite Attitude Measurement System
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摘要 以挠性陀螺仪、红外地平仪和太阳敏感器组成的对地观测卫星的姿态测量系统为对象,研究了该系统传感器硬件故障的诊断技术.在给出系统方程的基础上,对传感器的故障作了假设,并对该系统进行基于广义简化滤波器(多重滤波器)故障诊断方法的应用.该方法利用测量系统自身的卡尔曼滤波器,故只需增加有限的计算量.结果表明,这一方法有较好的实时性和较高的故障检出率,有利于卫星姿态测量系统可靠性的提高和高精度卫星的研制. A kind of technology of fault diagnosis for the sensors' hardware faults was studied. The technology is intended for an attitude measurement system of a remote sensing satellite, which consists of dynamically tuned gyroscopes (DTG), infrared earth sensors and solar sensors. The formulas of the system were given. The types of the sensors' faults were supposed. A method of fault diagnosis based on generalized simply Kalman filter (multiple filter) was applied for the system. As the Kalman filter is used for processing attitude information, the additional calculating amount of the method is limited. It is shown that this method is good in real time detecting and has a high rate of fault detection. The research is useful for improving the reliability of satellite attitude measurement system and for developing a high accuracy satellite.
出处 《上海交通大学学报》 EI CAS CSCD 北大核心 1999年第10期1292-1294,共3页 Journal of Shanghai Jiaotong University
关键词 卫星 姿态测量 故障诊断 卡尔曼滤波器 satellite attitude measurement fault diagnosis Kalman filter
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参考文献5

  • 1田蔚风,金志华,施红兵,陆恺,姜金奎,方芳,彭仁军.卫星姿态测量信息的卡尔曼滤波技术研究[J].中国惯性技术学报,1998,6(4):19-24. 被引量:4
  • 2田蔚风.卫星姿态测量系统信息处理技术研究[M].上海:上海交通大学,1998..
  • 3田蔚风,中国惯性技术学报,1998年,6卷,4期,18页
  • 4田蔚风,学位论文,1998年
  • 5周东华,控制系统的故障检测与诊断技术,1994年

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同被引文献45

  • 1张浩,肖勇,杨朝旭,张睿,许斌.基于双状态卡方故障检测的组合导航系统[J].航空学报,2020(S02):53-60. 被引量:12
  • 2吴丽娜,张迎春.离散小波变换在卫星姿控系统故障诊断中的应用[J].仪器仪表学报,2006,27(z1):407-409. 被引量:8
  • 3Mehra R,Seereeram S,Bayard D,Hadawgh F.Adapative Kalman filtering,failure detection and identification for spacecraft attitude estimation.Proceedings of the 4th IEEE Conference on Control Applications,New York,1995.176~181.
  • 4Chory M A,Hoffman D P,Le May J L.Satellite autonomous navigation-status and history.IEEE Position Location and Navigation Symposium,Las Vegas,NV,Nov.4-7,1986.110~121.
  • 5Eisenman A R,Liebe C C,Jorgensen J L.Realization of a faster,cheaper,better star tracker for the new millennium.Aerospace Conference,1997,Snowmass at Aspen,CO,USA,Proceedings,IEEE,1-8 Feb.1997,2:327~336.
  • 6Brumaback B D,Srinath M D.A fault-tolerant multisensor navigation system design.IEEE Trans.on SAES,1987,23(6):738~755.
  • 7Lefferts E J,Markley F L,Shuster M D.Kalman filtering for spacecraft attitude estimation.Journal of Guidance and Control,Sept.-Oct.,1982,5:417~429.
  • 8Wu Z,,Huang N E,Long S R,et al.On the trend,detrending,and variability of nonlinear and nonsta-tionary time series. Proceedings of the NationalAcademy of Sciences . 2007
  • 9Stephane Mallat.A Wavelet Tour of Signal Process-ing. . 2009
  • 10Wu Z,Huang N E.Ensemble empirical mode de-composition:a noise assisted data analysis method. Advances in Adaptive Data Analysis . 2008

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