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

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.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 10, 2005
Accession Number
ADA623011

Entities

People

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

Organizations

  • Leidos

Tags

DTIC Thesaurus Topics

  • Boundary Layer
  • Control Theory
  • Convergence
  • Corporations
  • Dynamics
  • Energy
  • Internet
  • Linear Systems
  • Networks
  • Power
  • Power Supplies
  • Propulsion Systems
  • Simulations
  • Simulators
  • Uncertainty
  • Vehicle Design
  • Vehicles

Readers

  • Computational Modeling and Simulation
  • Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.
  • Robotics and Automation.