Towards automatic level selection for design-aimed simulation

  • Authors:
  • Yongjie Huang;Ferdinanda Ponci;Roger Dougal

  • Affiliations:
  • University of South Carolina, Columbia, SC;University of South Carolina, Columbia, SC;University of South Carolina, Columbia, SC

  • Venue:
  • GCMS '09 Proceedings of the 2009 Grand Challenges in Modeling & Simulation Conference
  • Year:
  • 2009

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Abstract

We describe methods by which a simulation environment can automatically select the appropriate level of detail for each model that composes a system definition. Objectives of the automatic selection process are to ensure that the accuracy of the computed system response is compatible with the corresponding stage of an iterative design process, and that the simulation is completed with the least possible computational effort. Three methods were analyzed, tested, and compared: a frequency response method, a knowledge-based method and a step response method. The three methods are illustrated by a case study of a transformer-fed induction motor.