How to choose state variables for numerical simulations of aerospace systems

Pini Gurfil, Itzik Klein

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

Abstract

We introduce a method for mitigating the numerical integration errors of initial value problems. We propose a methodology for constructing an optimal state-space representation that gives minimum numerical truncation error, and in this sense, is the optimal state-space representation for modeling given phase-space dynamics. To that end, we utilize a simple transformation of the state-space equations into their variational form. This process introduces an inherent freedom, similar to the gauge freedom in electromagnetism. We then utilize the gauge function to reduce the numerical integration error. We show that by choosing an appropriate gauge function the numerical integration error dramatically decreases and one can achieve much better accuracy compared to the standard state variables for a given time-step. We illustrate the method using a few examples taken from the space systems and aeroelasticity fields. In all of our illustrating examples, the gauge-optimized integration outperforms the conventional integration.

Original languageEnglish
Title of host publicationCollection of Technical Papers - AIAA Modeling and Simulation Technologies Conference, 2006
Pages586-628
Number of pages43
StatePublished - 2006
Externally publishedYes
EventAIAA Modeling and Simulation Conference, 2006 - Keystone, CO, United States
Duration: 21 Aug 200624 Aug 2006

Publication series

NameCollection of Technical Papers - AIAA Modeling and Simulation Technologies Conference, 2006
Volume1

Conference

ConferenceAIAA Modeling and Simulation Conference, 2006
Country/TerritoryUnited States
CityKeystone, CO
Period21/08/0624/08/06

ASJC Scopus subject areas

  • Engineering (all)

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