Skip to main navigation Skip to search Skip to main content

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages5020-5024
Number of pages5
ISBN (Electronic)9789881563934
DOIs
StatePublished - 7 Sep 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • Airborne remote sensing stabilized platform
  • Attitude detection
  • Complementary Kalman filter

Fingerprint

Dive into the research topics of 'Dynamic leveling method under independent work mode for airborne remote sensing stabilized platform'. Together they form a unique fingerprint.

Cite this