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
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http://dx.doi.org/10.3384/ecp14096837Published in: Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Linköping Electronic Conference Proceedings 96:87, p. 837-846
Published: 2014-03-10
ISBN: 978-91-7519-380-9
ISSN: 1650-3686 (print), 1650-3740 (online)
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.
