Conference article

Noise Generation for Continuous System Simulation

Andreas Klöckner
German Aerospace Center (DLR), Institute of System Dynamics and Control, Weßling, Germany

Franciscus L. J. van der Linden
German Aerospace Center (DLR), Institute of System Dynamics and Control, Weßling, Germany

Dirk Zimmer
German Aerospace Center (DLR), Institute of System Dynamics and Control, Weßling, Germany

Download articlehttp://dx.doi.org/10.3384/ecp14096837

Published in: Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden

Linköping Electronic Conference Proceedings 96:87, p. 837-846

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Published: 2014-03-10

ISBN: 978-91-7519-380-9

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Adding random disturbances to Modelica models is necessary to represent stochastic fluctuations like sensor noise; air gusts and road irregularities. In this paper; we present a library to specify a pseudo random noise for continuous-time simulations. The random number generator; a probability density function and a frequency spectrum can be defined independently. A new random number generator is proposed to generate a continuous random signal; which is proven to be highly suitable for continuous models. The performance of the noise models is tested in two benchmarks using an academic as well as a realistic model both showing a remarkable increase in simulation speed.

Keywords

Noise; Stochastic Models; Random Number Generator

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