A distributed kalman filter for actuator fault estimation of deep space formation flying satellites

S. M. Azizi, K. Khorasani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

25 Scopus citations

Abstract

In this paper, a new distributed Kalman filter scheme is proposed to estimate actuator faults for deep space formation flying satellites. The method can also be applied to large-scale systems such as sensor networks and power systems. For a hierarchical large-scale system, the overlapping block-diagonal state space (OBDSS) representation of the system is transformed into our proposed constrained-state block-diagonal state space (CSBDSS) model. The proposed model becomes purely diagonal which simplifies and allows the distributed implementation of the Kalman filters. The constrained-state condition needs to be satisfied at each Kalman filtering iteration which is shown to be equivalent to solving local constrained optimization cost functions. Simulation results presented confirm the effectiveness of our proposed analytical work.

Original languageEnglish (US)
Title of host publication2009 IEEE International Systems Conference Proceedings
Pages354-359
Number of pages6
DOIs
StatePublished - Jul 15 2009
Externally publishedYes
Event2009 IEEE International Systems Conference - Vancouver, BC, Canada
Duration: Mar 23 2009Mar 26 2009

Publication series

Name2009 IEEE International Systems Conference Proceedings

Conference

Conference2009 IEEE International Systems Conference
CountryCanada
CityVancouver, BC
Period3/23/093/26/09

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Deep space
  • Distributed
  • Formation flying
  • Kalman filter

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