State and Covariance Matrix Propagation for Continuous-Discrete Extended Kalman Filter Using Modified Chebyshev Picard Iteration Method

A. Imran, X. Wang, X. Yue

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a new method for the extended Kalman Filter state estimation for nonlinear systems with no closed-form solutions, given noisy state measurements are available with known uncertainties. The system is defined by a couple of sets of equations called the “moment equations.” In the CD-EKF discrete, noisy state estimations are available at known time stamps. Propagation of the state estimation requires the integration of the moment equations that can diverge if the underlying system is stiff. We are employing the MCPI method at this stage, thus significantly improving the propagation accuracy compared to traditional methods. The proposed CD-EKF is applied to two problems (1) the famous Duffing Oscillator, a known stiff system, (2) to the Xu-Wang equations of relative orbital propagation, which define the relative motion of two satellites under the J2 perturbation of Earth.

Original languageEnglish
Title of host publicationComputational and Experimental Simulations in Engineering - Proceedings of ICCES 2022
EditorsHonghua Dai
PublisherSpringer Science and Business Media B.V.
Pages141-149
Number of pages9
ISBN (Print)9783031020964
DOIs
StatePublished - 2023
Event28th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2022 - Dubai, United Arab Emirates
Duration: 8 Jan 202212 Jan 2022

Publication series

NameMechanisms and Machine Science
Volume119
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

Conference28th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2022
Country/TerritoryUnited Arab Emirates
CityDubai
Period8/01/2212/01/22

Keywords

  • CD-EKF
  • Modified chebyshev picard iteration
  • Non-linear systems
  • Relative orbital propagation

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