Analysis of Dynamical Drift Error of Fiber Optical Gyrowith Kalman Filter

碩士 === 國立高雄第一科技大學 === 電腦與通訊工程研究所 === 102 === Inertial navigation system in order to achieve the purpose of the automatic navigation accessibility so doesn''t need to consider external information and has been applied widely to variety vehicles. With the upgrading of navigation speed and ac...

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Main Authors: Cheng-Yen Lin, 林政彥
Other Authors: King-Chu Hung
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/69716279915003753410
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spelling ndltd-TW-102NKIT56500262016-07-03T04:13:34Z http://ndltd.ncl.edu.tw/handle/69716279915003753410 Analysis of Dynamical Drift Error of Fiber Optical Gyrowith Kalman Filter 卡爾曼濾波器於光纖陀螺儀之動態漂移誤差分析 Cheng-Yen Lin 林政彥 碩士 國立高雄第一科技大學 電腦與通訊工程研究所 102 Inertial navigation system in order to achieve the purpose of the automatic navigation accessibility so doesn''t need to consider external information and has been applied widely to variety vehicles. With the upgrading of navigation speed and accuracy requirements, optical sensor has already become inertial navigation system component of a new generation. Fiber optic gyro with small size, light weight, low-vibration, easy maintenance, good performance and good price ratio become the first choice components high precision inertial navigation system. But fiber optic gyro operation still has lots noise interference. Among FOG operation the biggest impact on the accuracy of the drift error. Analyses of dynamical drift error of fiber optical gyro with kalman filter in the thesis. Experimental results show that kalman filter can lower allan variance of system effectively and improve accuracy of fiber optical gyro. King-Chu Hung 洪金車 2014 學位論文 ; thesis 56 zh-TW
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language zh-TW
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description 碩士 === 國立高雄第一科技大學 === 電腦與通訊工程研究所 === 102 === Inertial navigation system in order to achieve the purpose of the automatic navigation accessibility so doesn''t need to consider external information and has been applied widely to variety vehicles. With the upgrading of navigation speed and accuracy requirements, optical sensor has already become inertial navigation system component of a new generation. Fiber optic gyro with small size, light weight, low-vibration, easy maintenance, good performance and good price ratio become the first choice components high precision inertial navigation system. But fiber optic gyro operation still has lots noise interference. Among FOG operation the biggest impact on the accuracy of the drift error. Analyses of dynamical drift error of fiber optical gyro with kalman filter in the thesis. Experimental results show that kalman filter can lower allan variance of system effectively and improve accuracy of fiber optical gyro.
author2 King-Chu Hung
author_facet King-Chu Hung
Cheng-Yen Lin
林政彥
author Cheng-Yen Lin
林政彥
spellingShingle Cheng-Yen Lin
林政彥
Analysis of Dynamical Drift Error of Fiber Optical Gyrowith Kalman Filter
author_sort Cheng-Yen Lin
title Analysis of Dynamical Drift Error of Fiber Optical Gyrowith Kalman Filter
title_short Analysis of Dynamical Drift Error of Fiber Optical Gyrowith Kalman Filter
title_full Analysis of Dynamical Drift Error of Fiber Optical Gyrowith Kalman Filter
title_fullStr Analysis of Dynamical Drift Error of Fiber Optical Gyrowith Kalman Filter
title_full_unstemmed Analysis of Dynamical Drift Error of Fiber Optical Gyrowith Kalman Filter
title_sort analysis of dynamical drift error of fiber optical gyrowith kalman filter
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/69716279915003753410
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