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Author:

Pei, Fu-Jun (Pei, Fu-Jun.) | Ju, He-Hua (Ju, He-Hua.) | Cui, Ping-Yuan (Cui, Ping-Yuan.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

It is essential for lunar rover to know its position in order to fulfill the lunar exploration mission. Therefore, the autonomous navigation and control method of lunar rover have become an important topic. In this paper, a new autonomous navigation method for lunar rover based on velocity and celestial joint observation is described. The principle of this method was introduced, and the system equation for lunar rover based on the theory of inertial navigation is developed. Then the joint observation model based on celestial and velocity is presented. Because of the system equation and observation model are linear, Kalman filter is used to implement optimization estimation in this method. Finally, the simulation of this method was finished. The simulation results demonstrated the validity and feasibility of this method.

Keyword:

Inertial navigation systems Navigation Lunar missions Kalman filters Sensors

Author Community:

  • [ 1 ] [Pei, Fu-Jun]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Ju, He-Hua]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Cui, Ping-Yuan]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 4 ] [Cui, Ping-Yuan]Deep Space Exploration Research Center, Harbin Institute of Technology, Harbin 150001, China

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Source :

Journal of Astronautics

ISSN: 1000-1328

Year: 2009

Issue: 2

Volume: 30

Page: 486-491

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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