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An on-line calibration method of SINS/odometer integrated navigation system

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Considering the key factors that affect the precision of strapdown inertial navigation system (SINS) and odometer integrated navigation system, an on-line calibration method based on Kalman filter aided by odometer is proposed. Dead reckoning (DR) algorithm and DR error model including odometer scale factor and odometer installation errors are given. Based on the error model, a closed-loop Kalman filter is designed to estimate odometer scale factor error, odometer installation errors, gyroscope drifts and accelerometer biases, and then improve the horizontal position precision. Finally, the simulation of SINS/odometer integrated navigation is carried out. Correlated results show that current parameters including odometer scale factor and odometer installation can be estimated on the base of former parameters, and compared with the horizontal position calculated by dead reckoning algorithm, the proposing method exerts a higher horizontal position precision, which sufficiently verifies the validity of proposing method.

源语言英语
主期刊名Proceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017
编辑Ying Dai, Shaozi Li, Yun Cheng
出版商Institute of Electrical and Electronics Engineers Inc.
847-851
页数5
ISBN(电子版)9781538630136
DOI
出版状态已出版 - 14 11月 2017
活动4th International Conference on Information Science and Control Engineering, ICISCE 2017 - Changsha, Hunan, 中国
期限: 21 7月 201723 7月 2017

出版系列

姓名Proceedings - 2017 4th International Conference on Information Science and Control Engineering, ICISCE 2017

会议

会议4th International Conference on Information Science and Control Engineering, ICISCE 2017
国家/地区中国
Changsha, Hunan
时期21/07/1723/07/17

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