Extended Kalman filter and observability analysis for consensus estimation of spacecraft relative motion

Jingwei Wang, Eric Butcher, Tansel Yucelenz

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

1 Citation (Scopus)

Abstract

The consensus extended Kalman filter is employed for the problem of multiple chief spacecraft cooperatively estimating the orbit of one deputy spacecraft in a connected communication network. The numerical results show that use of the consensus estimation strategy can improve the convergence performance of the filter and increase the system observability by excluding ambiguous orbits associated with angles-only and range-only measurements. The benefits of faster convergence and consensus speed by using communication networks with more connections are also illustrated. The improvements on system observability are further validated by the analytical observability criteria using Lie derivatives. The conditions for the ambiguous orbits to persist in the presence of consensus feedback are obtained for range-only measurements and verified by illustrative numerical examples. Finally, the numerical observability measures, observability Gramian and associated observability index and condition number are used to numerically illustrate the advantages of the proposed consensus estimation strategy.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Edition210039
ISBN (Print)9781624105265
DOIs
StatePublished - Jan 1 2018
EventAIAA Guidance, Navigation, and Control Conference, 2018 - Kissimmee, United States
Duration: Jan 8 2018Jan 12 2018

Other

OtherAIAA Guidance, Navigation, and Control Conference, 2018
CountryUnited States
CityKissimmee
Period1/8/181/12/18

Fingerprint

Observability
Extended Kalman filters
Spacecraft
Orbits
Telecommunication networks
Derivatives
Feedback

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Wang, J., Butcher, E., & Yucelenz, T. (2018). Extended Kalman filter and observability analysis for consensus estimation of spacecraft relative motion. In AIAA Guidance, Navigation, and Control (210039 ed.). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2018-1580

Extended Kalman filter and observability analysis for consensus estimation of spacecraft relative motion. / Wang, Jingwei; Butcher, Eric; Yucelenz, Tansel.

AIAA Guidance, Navigation, and Control. 210039. ed. American Institute of Aeronautics and Astronautics Inc, AIAA, 2018.

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

Wang, J, Butcher, E & Yucelenz, T 2018, Extended Kalman filter and observability analysis for consensus estimation of spacecraft relative motion. in AIAA Guidance, Navigation, and Control. 210039 edn, American Institute of Aeronautics and Astronautics Inc, AIAA, AIAA Guidance, Navigation, and Control Conference, 2018, Kissimmee, United States, 1/8/18. https://doi.org/10.2514/6.2018-1580
Wang J, Butcher E, Yucelenz T. Extended Kalman filter and observability analysis for consensus estimation of spacecraft relative motion. In AIAA Guidance, Navigation, and Control. 210039 ed. American Institute of Aeronautics and Astronautics Inc, AIAA. 2018 https://doi.org/10.2514/6.2018-1580
Wang, Jingwei ; Butcher, Eric ; Yucelenz, Tansel. / Extended Kalman filter and observability analysis for consensus estimation of spacecraft relative motion. AIAA Guidance, Navigation, and Control. 210039. ed. American Institute of Aeronautics and Astronautics Inc, AIAA, 2018.
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