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Parametric analysis of automotive mechatronic systems

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The paper presents the analysis results of the fan system using hardware/software multi-technology language VHDL-AMS (IEEE 1076.1) and System Vision design platform. The analysis was performed in the time domain for the selected sweep values of the component parameters. The sensitivity analysis was used to vary selected, user-specified percentage of rated values . The parameters were arranged according to the effect on the selected waveforms. The further analysis was performed using statistic method Monte Carlo (MC) and Worst Case (WCA). Results of simulation are presented and the advantage of MC simulation over sensitivity analysis was emphasized. Post processing measurement tools of MC results and calculator with the standard mathematical operators and advanced statistic functions were used to picture the system performance versus run number and to determine correlations between devices parameters and system performance. The obtained characteristics enable the designer to evaluate the reliability of the system when manufactured in the large scale and to state the worst case limits for the project.
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  • [1] Puchalski, A., Mechatroniczne projektowanie układów EE pojazdu, Journal of KONES, Vol. 15, No. 2, s. 393-398, Warsaw 2008.
  • [2] Getting Started with SystemVision, A Tutorial, Copyright Mentor Graphic Corporation, 2008.
  • [3] Puchalski, A., Modelowanie i symulacja podukładów mechatroniki samochodowej, Diagnostyka, Nr 3 (51), s. 101-104, 2009.
  • [4] Fundamentals of VHDL-AMS for Automotive Electrical Systems, Copyright Mentor Graphics Corporation, 2004, www.mentor.com.
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bwmeta1.element.baztech-article-BUJ7-0016-0095
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