TY - GEN

T1 - How to choose state variables for numerical simulations of aerospace systems

AU - Gurfil, Pini

AU - Klein, Itzik

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33846546405&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33846546405

SN - 1563478218

SN - 9781563478215

T3 - Collection of Technical Papers - AIAA Modeling and Simulation Technologies Conference, 2006

SP - 586

EP - 628

BT - Collection of Technical Papers - AIAA Modeling and Simulation Technologies Conference, 2006

T2 - AIAA Modeling and Simulation Conference, 2006

Y2 - 21 August 2006 through 24 August 2006

ER -