A Method to Achieve High Fidelity in Internet-Distributed Hardware-in-the-Loop Simulation

Abstract

One of the main challenges of co-simulating hardware-in-the-loop systems in real-time over the Internet is the fidelity of the simulation. The dynamics of the Internet may significantly distort the dynamics of the network-integrated system. This paper presents the development of an iterative learning control based approach to improve fidelity of such networked system integration. Towards this end, a new metric for characterizing fidelity is proposed first, which, unlike some existing metrics, does not require knowledge about the reference dynamics (i.e., dynamics that would be observed, if the system was physically connected). Next, using this metric, the problem of improving fidelity is formulated as an iterative learning control problem. Finally, the proposed approach is utilized in a case study. The conclusion is that the proposed approach can significantly improve the fidelity in Internet-distributed hardware-in-the-loop simulation.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2012
Accession Number
ADA566264

Entities

People

  • Anna G. Stefanopoulou
  • Ashwin Salvi
  • Jason B. Siegel
  • Jeffrey L. Stein
  • Mark Brudnak
  • Tulga Ersal
  • Youngki Kim
  • Zoran Filipi

Organizations

  • University of Detroit Mercy

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Automotive Engineering
  • Case Studies
  • Data Acquisition
  • Dynamics
  • Electric Vehicles
  • Engineering
  • Ground Vehicles
  • Hybrid Electric Vehicles
  • Internet
  • Learning
  • Local Area Networks
  • Manufacturing
  • Mechanical Engineering
  • Networks
  • Simulations
  • Systems Engineering
  • United States Government

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development