Robust Control Techniques for State Tracking in the Presence of Variable Time Delays

Jarrett Goodell, Marc Compere, Miguel Simon, Wilford Smith, Ronnie Wright, Mark Brudnak

Research output: Contribution to conferencePresentation

Abstract

In this paper, a distributed driver-in-the-Ioop and hardware-in-the-Ioop simulator is described with a driver on a motion simulator at the U.S. Army TARDEC Ground Vehicle Simulation Laboratory (GVSL). Realistic power system response is achieved by linking the driver in the GVSL with a full-sized hybrid electric power system located 2,450 miles away at the TARDEC Power and Energy Systems Integration Laboratory (P&E SIL), which is developed and maintained by Science Applications International Corporation (SAIC). The goal is to close the loop between the GVSL and P&E SIL over the Internet to provide a realistic driving experience in addition to realistic power system results. In order to preserve a valid and safe hardware-in-the-Ioop experiment, the states of the GVSL must track the states of the P&E SIL. In a distributed control system utilizing the open Internet, the communications channel is a primary source of uncertainty and delay that can degrade the overall system performance and stability. The presence of a cross-country network delay and the unavoidable differences between the P&E SIL hardware and GVSL model will cause the GVSL states and P&E SIL states to diverge without any additional action. Thus, two robust strategies for state convergence are developed and presented in this paper. The first strategy is a non-linear Sliding Mode control scheme. The second strategy is an H-infinity control scheme. Both schemes are implemented in simulation, and both schemes show promising results for state convergence in the presence of variable cross-country time delays.

Original languageAmerican English
StatePublished - Jan 10 2005
Externally publishedYes

Keywords

  • Combat Vehicles
  • Electric Power
  • Hybrid Systems
  • Symposia
  • Real Time
  • Motion
  • Cycles
  • Degrees of Freedom
  • Topology
  • Feedback
  • Crews
  • Communication and Radio Systems
  • Internet
  • Closed Loop Systems
  • Experimental Data
  • Hardware in the Loop
  • Control
  • Simulation

Disciplines

  • Automotive Engineering
  • Hardware Systems
  • Military Vehicles
  • Propulsion and Power
  • Software Engineering

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