Attitude observers for three-vehicle heterogeneous formations based on the Lagrange-d'Alembert principle

Pedro Cruz, Pedro Batista, Amit Sanyal

Research output: Chapter in Book/Entry/PoemConference contribution

Abstract

This paper considers the problem of attitude estimation in three-vehicle heterogeneous formations with no line of sight between two of the vehicles. Each vehicle measures different inertial reference vectors and directions to other vehicles. The relative direction between the two vehicles with no line of sight cannot be measured. Moreover, rate gyros measure the angular velocity of each vehicle. An attitude observer is designed based on the Lagrange-d'Alembert principle of variational mechanics, considering only kinematic models. This design is driven by the angular velocity measurement and a reconstructed attitude computed from the direction measurements. The attitude reconstruction follows a deterministic algorithm, which has a unique solution under appropriate assumptions. The attitude observer is locally exponentially stable and the estimation error is shown to converge to zero for almost all initial conditions. The discrete-time form of the observer is obtained for practical implementation. Lastly, numerical simulations validate the stability and convergence characteristics of the observer.

Original languageEnglish (US)
Title of host publication2021 European Control Conference, ECC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2317-2322
Number of pages6
ISBN (Electronic)9789463842365
DOIs
StatePublished - 2021
Event2021 European Control Conference, ECC 2021 - Delft, Netherlands
Duration: Jun 29 2021Jul 2 2021

Publication series

Name2021 European Control Conference, ECC 2021

Conference

Conference2021 European Control Conference, ECC 2021
Country/TerritoryNetherlands
CityDelft
Period6/29/217/2/21

ASJC Scopus subject areas

  • Control and Optimization
  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Control and Systems Engineering
  • Mechanical Engineering
  • Computational Mathematics

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