跳到主要导航 跳到搜索 跳到主要内容

Dynamic leveling method under independent work mode for airborne remote sensing stabilized platform

  • Xu Yang
  • , Zhanqing Wang
  • , Xiaopeng Xi
  • , Guoping Zhang
  • , Shuangji Feng
  • , Yanshun Zhang
  • Beihang University
  • Beijing Institute of Technology
  • Tianjin Zhong Wei Aerospace Data System Technology Co.
  • Tianjin Key Laboratory of Intelligent Information Processing in Remote Sensing
  • Beijing Ruier Tiantian Technology Co. Ltd

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

According to the installation characteristics of gyroscope and accelerometer on the frame for airborne remote sensing stabilized platform, a dynamic angle measurement scheme is presented, in which the accelerometer is the main component, and gyroscope is the support. A correction method for handover frequency of complementary filter is raised according to statistical characteristics of the measurement noise, and a Kalman filter is designed based on complementary filter. To validate the performance, the complementary Kalman filter was experimented for airborne remote sensing stabilized platform principle proto made by our research group. The results show that the leveling accuracy of the platform has been greatly improved in both static and dynamic condition, laying the foundation of improving the working time and leveling precision of the stabilized platform under independent work mode.

源语言英语
主期刊名Proceedings of the 36th Chinese Control Conference, CCC 2017
编辑Tao Liu, Qianchuan Zhao
出版商IEEE Computer Society
5020-5024
页数5
ISBN(电子版)9789881563934
DOI
出版状态已出版 - 7 9月 2017
活动36th Chinese Control Conference, CCC 2017 - Dalian, 中国
期限: 26 7月 201728 7月 2017

出版系列

姓名Chinese Control Conference, CCC
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议36th Chinese Control Conference, CCC 2017
国家/地区中国
Dalian
时期26/07/1728/07/17

指纹

探究 'Dynamic leveling method under independent work mode for airborne remote sensing stabilized platform' 的科研主题。它们共同构成独一无二的指纹。

引用此