An adaptive local variational iteration method for orbit propagation and strongly nonlinear dynamical systems

Xuechuan Wang, Tarek A. Elgohary, Satya N. Atluri

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

Abstract

In this paper, a very simple and efficient Adaptive Local Variational Iteration Method (LVIM) for solving problems of nonlinear dynamics and orbital mechanics is presented. The analytical iteration formula of this method is derived by using a general form of first order nonlinear differential equations, followed by straightforward discretization using Chebyshev polynomials and collocation. The resulting numerical algorithm is very concise and easy to use, only involving highly sparse matrix operations of addition and multiplication, and no inversion of the Jacobian is required. Apart from the simple yet efficient iteration formula, a straightforward adaptive scheme is introduced to refine the step size and the collocation nodes at each time segment. The proposed adaptive method guarantees the prescribed accuracy without needing to manually tune the algorithm. It also prevents over-calculating in the computational process by relaxing the refinement automatically. Numerical results of large amplitude pendulum and the perturbed two-body problem validate the high accuracy and efficiency of this easy-to-use adaptive method.

Original languageEnglish
Title of host publicationAIAA Scitech 2020 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105951
DOIs
StatePublished - 2020
EventAIAA Scitech Forum, 2020 - Orlando, United States
Duration: Jan 6 2020Jan 10 2020

Publication series

NameAIAA Scitech 2020 Forum
Volume1 PartF

Conference

ConferenceAIAA Scitech Forum, 2020
Country/TerritoryUnited States
CityOrlando
Period01/6/2001/10/20

Fingerprint

Dive into the research topics of 'An adaptive local variational iteration method for orbit propagation and strongly nonlinear dynamical systems'. Together they form a unique fingerprint.

Cite this