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Research on Life Prediction of HRG Navigation Systems Based on Parameter Extrapolation

Author: QiZiYang
Tutor: WangChangHong
School: Harbin Institute of Technology
Course: Control Theory and Control Engineering
Keywords: HRG Parameter Prediction Failure Analysis ALT SVM
CLC: V448.2
Type: Master's thesis
Year: 2012
Downloads: 69
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Abstract


With the rapid development of the aerospace technology，navigation systems aredeveloped with long service life, high reliability, and low power consumption.Hemispherical resonator gyro is a new kind of solid state gyroscopes, which abandonsthe traditional machine structure so that it possesses the feature of high reliability, longservice life and shock resistance, and has good prospects in the applications of longservice life orbit spacecrafts. In this thesis life prediction of HRG navigation systemsbased on parameter extrapolation is studied. Main research contents are as follows:analysis of the impact of performance parameter on navigation systems, failure analysisof accelerometers and HRGs, parameter prediction based on accelerated lifetesting(ALT), and performance parameter extrapolation based on Support VectorMachines(SVM).First, impact of performance parameter on navigation system is studied. Researchscheme of HRG navigation system lifetime is proposed based on the idea ofperformance parameter extrapolation.Second, the working principle and fundamental structure of accelerometers andHRGs is elaborated,on which a deep analysis of their failure is concluded. Thensynthesis stress which causes system failure is concluded.Third, accelerated life test of HRG navigation system is discussed. An identifyingmethod of acceleration mechanism consistency is proposed. Arrhenius degradationmodel for accelerometer performance parameter is built. Due to lack of experimentconditions, accelerated life test of HRG is designed but unpracticed. The ALT model forHRG and processing method of experiment data is put forwardLast, the lifetime of HRG navigation system is predicted based on SVM. Animproved SVM forecasting model is proposed，conducting predictions on performanceparameters of accelerometers and HRGs. In the end, a method for identifying navigationsystem failure time is concluded.

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CLC: > Aviation, aerospace > Aerospace ( Astronauts ) > Space instrument,spacecraft devices,spacecraft guidance and control > Guidance and Control > Spacecraft guidance and control
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