Noise Generation for Continuous System Simulation
Andreas Klöckner, Franciscus L. J. van der Linden, Dirk Zimmer · Linköping electronic conference proceedings · 2014
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.