Estimation and Control of Systems by Using the Kalman Filtering Theorem

碩士 === 逢甲大學 === 航太與系統工程所 === 94 === The estimation and control of systems by using the Kalman filtering theorem is demonstrated; and the selected simulation object, the Formosa-3 satellites developed by the NSPO in Taiwan, is also introduced in this thesis. Under the space environment, the attitude...

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Main Authors: Chih-che Yang, 楊士徹
Other Authors: none
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/80671377589305290219
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spelling ndltd-TW-094FCU052950032015-12-11T04:04:18Z http://ndltd.ncl.edu.tw/handle/80671377589305290219 Estimation and Control of Systems by Using the Kalman Filtering Theorem 應用卡爾曼濾波理論於系統之估算與控制 Chih-che Yang 楊士徹 碩士 逢甲大學 航太與系統工程所 94 The estimation and control of systems by using the Kalman filtering theorem is demonstrated; and the selected simulation object, the Formosa-3 satellites developed by the NSPO in Taiwan, is also introduced in this thesis. Under the space environment, the attitude of a satellite will be changed by the external torques. The purpose of this work is to verify whether the controller can overcome the external disturbance and to fulfill the designed objective. The ideal case which the satellite is “external torques free” is simulated first. After the ideal case is simulated successfully, the case with the external disturbance effects is also included in the Kalman filtering theorem. The noise effects of the measurement and model for the satellite systems are also discussed and surveyed. From the ideal simulation results, the suitable candidate parameters for the case with external torques will be used to verify the theorem used here. Finally, the simulation results show that the satellite attitude did satisfy the constraints by using the assigned parameters and initial conditions in the Kalman filtering theorem. The results also indicate the system converges within 5000 seconds. none 陳啟川 2006 學位論文 ; thesis 75 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 逢甲大學 === 航太與系統工程所 === 94 === The estimation and control of systems by using the Kalman filtering theorem is demonstrated; and the selected simulation object, the Formosa-3 satellites developed by the NSPO in Taiwan, is also introduced in this thesis. Under the space environment, the attitude of a satellite will be changed by the external torques. The purpose of this work is to verify whether the controller can overcome the external disturbance and to fulfill the designed objective. The ideal case which the satellite is “external torques free” is simulated first. After the ideal case is simulated successfully, the case with the external disturbance effects is also included in the Kalman filtering theorem. The noise effects of the measurement and model for the satellite systems are also discussed and surveyed. From the ideal simulation results, the suitable candidate parameters for the case with external torques will be used to verify the theorem used here. Finally, the simulation results show that the satellite attitude did satisfy the constraints by using the assigned parameters and initial conditions in the Kalman filtering theorem. The results also indicate the system converges within 5000 seconds.
author2 none
author_facet none
Chih-che Yang
楊士徹
author Chih-che Yang
楊士徹
spellingShingle Chih-che Yang
楊士徹
Estimation and Control of Systems by Using the Kalman Filtering Theorem
author_sort Chih-che Yang
title Estimation and Control of Systems by Using the Kalman Filtering Theorem
title_short Estimation and Control of Systems by Using the Kalman Filtering Theorem
title_full Estimation and Control of Systems by Using the Kalman Filtering Theorem
title_fullStr Estimation and Control of Systems by Using the Kalman Filtering Theorem
title_full_unstemmed Estimation and Control of Systems by Using the Kalman Filtering Theorem
title_sort estimation and control of systems by using the kalman filtering theorem
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/80671377589305290219
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AT yángshìchè yīngyòngkǎěrmànlǜbōlǐlùnyúxìtǒngzhīgūsuànyǔkòngzhì
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