The state-space model identification-based adaptive collaborative multi-satellite simulation system

Yinghong Zhao, Yankai Wang, Chong Zhang

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

Developing agent-based collaborative multi-satellite formation flying simulation system is of great significance for the study of complex formation change process in the multisatellite formation flying. We first studied the satellite relative kinetic model and consider the effect of J2 perturbation on the model. Then we used the adaptive decoupling generalized minimum variance control method which based on state-space model identification technology to control the model. In order to verify the performance of the control method, we designed a formation flying simulation system. Simulation results showed that the adaptive control method based on state-space model identification could track the desired trajectory in the presence of unknown disturbances and measurement noise when the states are measurable. The simulation system could be used to test the performance of the multi-satellite collaborative control method.

Original languageEnglish
Pages293-297
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 4th World Congress on Software Engineering, WCSE 2013 - Hong Kong, China
Duration: 3 Dec 20134 Dec 2013

Conference

Conference2013 4th World Congress on Software Engineering, WCSE 2013
Country/TerritoryChina
CityHong Kong
Period3/12/134/12/13

Keywords

  • Agent-based collaborative multi-satellite simulation system
  • Formation remain control

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