Article | Proceedings of the 10<sup>th</sup> International Modelica Conference; March 10-12; 2014; Lund; Sweden | Noise Generation for Continuous System Simulation Link�ping University Electronic Press Conference Proceedings
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Title:
Noise Generation for Continuous System Simulation
Author:
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
DOI:
10.3384/ecp14096837
Download:
Full text (pdf)
Year:
2014
Conference:
Proceedings of the 10th International Modelica Conference; March 10-12; 2014; Lund; Sweden
Issue:
096
Article no.:
087
Pages:
837-846
No. of pages:
10
Publication type:
Abstract and Fulltext
Published:
2014-03-10
ISBN:
978-91-7519-380-9
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press; Linköpings universitet


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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

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

Author:
Andreas Klöckner, Franciscus L. J. van der Linden, Dirk Zimmer
Title:
Noise Generation for Continuous System Simulation
DOI:
http://dx.doi.org/10.3384/ecp14096837
References:

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[4] Dassault Systèmes AB. Dymola User’s Manual – Volume 2, 2011.

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[6] George EP Box and Mervin E Muller. A note on the generation of random normal deviates. The Annals of Mathematical Statistics, 29(2):610–611, 1958.

[7] Franciscus L. J. van der Linden, Clemens Schlegel, Markus Christmann, Gergely Regula, Christopher Hill, Paulo Giangrande, Jean-Charles Maré, and Imanol Egaña. Implementation of a Modelica Library for Simulation of Electromechanical Actuators for Aircraft and Helicopters. In Proceedings of the 10th International Modelica Conference, 2014.

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

Author:
Andreas Klöckner, Franciscus L. J. van der Linden, Dirk Zimmer
Title:
Noise Generation for Continuous System Simulation
DOI:
http://dx.doi.org/10.3384/ecp14096837
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