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Robust Control Techniques Enabling Duty Cycle Experiments Utilizing a 6-DOF Crewstation Motion Base, a Full Scale Combat Hybrid Electric Power System, and Long Distance Internet Communications
ISSN: 0148-7191, e-ISSN: 2688-3627
Published November 07, 2006 by SAE International in United States
Annotation ability available
Event: Power Systems Conference
The RemoteLink effort supports the U.S. Army's objective for developing and fielding next generation hybrid-electric combat vehicles. It is a distributed soldier-in-the-loop and hardware-in-the-loop environment with a 6-DOF motion base for operator realism, a full-scale combat hybrid electric power system, and an operational context provided by OneSAF. The driver/gunner crewstations rest on one of two 6-DOF motion bases at the U.S. Army TARDEC Simulation Laboratory (TSL). The hybrid power system is located 2,450 miles away at the TARDEC Power and Energy System Integration Laboratory (P&E SIL). The primary technical challenge in the RemoteLink is to operate both laboratories together in real time, coupled over the Internet, to generate a realistic power system duty cycle.
A topology has been chosen such that the laboratories have real hardware interacting with simulated components at both locations to guarantee local closed loop stability. This layout is robust to Internet communication failures and ensures the long distance network delay does not enter the local feedback loops. The TSL states and P&E SIL states will diverge due to (1) significant communications delays and (2) unavoidable differences between the TSL's power-system simulation and the P&E SIL's real hardware-in-the-loop power system. Tightly coupled, bi-directional interactions exist among the various distributed simulations and software- and hardware-in-the-loop components representing the driver, gunner, vehicle, and power system. These interactions necessitate additional adjustment to ensure that the respective states at the TSL and P&E SIL sites converge. This is called state convergence and ensures the dominant energetic states of both laboratories remain closely matched in real time. State convergence must be performed at both locations to achieve bi-directional, real-time interaction like that found on a real vehicle. The result is a distributed control system architecture with Internet communications in the state convergence feedback loop.
The Internet communication channel is a primary source of uncertainty that impacts the overall state convergence performance and stability. Multiple control schemes were developed and tested in simulation. This paper presents robust control techniques that compensate for asynchronous Internet communication delays during closed loop operation of the TSL and P&E SIL sites. The subsequent soldier- and hardware-in-the-loop experiments were performed using a combination of nonlinear Sliding-mode and linear PID control laws to achieve state convergence at both locations. The control system development, performance, and duty cycle results are presented in this paper.
CitationCompere, M., Goodell, J., Simon, M., Smith, W. et al., "Robust Control Techniques Enabling Duty Cycle Experiments Utilizing a 6-DOF Crewstation Motion Base, a Full Scale Combat Hybrid Electric Power System, and Long Distance Internet Communications," SAE Technical Paper 2006-01-3077, 2006, https://doi.org/10.4271/2006-01-3077.
- Brudnak, M.; Nunez, P.; Paul, V.; Mortsfield, T.; Shvartsman, A.; Perera, H.S.; Smith, W.; Mohammad, S.; Pozolo, M., “Human-in-the-loop Simulation-based Combat Vehicle Duty Cycle Measurement: Duty Cycle Experiment 1”, Paper SIW-06S-080, Simulation Interoperability Standards Organization (SISO), Orlando, FL, April 2006.
- Paul, V.; Brudnak, M.; Ueda, J.; Shvartsman, A., “Simulation-based Hybrid Electric Combat Vehicle Duty Cycle Measurement”, Intelligent Vehicle Systems Symposium, NDIA, Traverse City, MI, June 2006.
- Simon Miguel, Compere Marc, Connolly Thomas, Lors Charles, Smith Wilford, Brudnak Mark, “Hybrid Electric Power and Energy Laboratory Hardware-in-the-Loop and Vehicle Model Implementation,” SAE 2006 World Congress & Exhibition, Military Vehicle Modeling and Simulation session, April 2006, Detroit, MI, USA
- Kajs John, Compere Marc, Danielson Eugene, “Power System Upgrade for TARDEC System Integration Lab,” presented at The Sixth International All Electric Combat Vehicle Conference 2005 (AECV 2005), Bath, England, June 13-16, 2005
- Compere Marc, Simon Miguel, Kajs John, Pozolo Mike, “Tracked Vehicle Mobility Load Emulation for a Combat Hybrid Electric Power System”, presented at The Sixth International All Electric Combat Vehicle Conference 2005 (AECV 2005), Bath, England, June 13-16, 2005
- AV-900 Installation, Operation, and Maintenance Manual, AeroVironment Inc, Monrovia, California
- Realtime technologies, Royal Oak, MI, www.Simcreator.com
- McCullough, M. K. and Haug E. J., “Dynamics of High Mobility Track Vehicles,” ASME Design Engineering Technical Conference, Cincinnati, Ohio, Paper No. 85-DET-95, 1985.
- Wong, J.Y., Theory of Ground Vehicles, 3rd Ed.,John Wiley & Sons, ISBN 0-471-35461-9, 2001.
- Smith Wilford and Nunez Patrick, “Power and Energy Computational Models for the Design and Simulation of Hybrid-Electric Combat Vehicles”, SPIE Paper No. 5805-02, Paper Presented at Simulation Science IX, Orlando, FL, 28 March - 1 April 2005.
- Goodell Jarrett, Compere Marc, Simon Miguel, Smith Wilford, Wright Ronnie, Brudnak Mark, “Robust Control Techniques for State Tracking in the Presence of Variable Time Delays,” SAE 2006 World Congress & Exhibition, Military Vehicle Modeling and Simulation session, April 2006, Detroit, MI, USA
- Truong, N.; Paul, V.; Shvartsman, A,, “Integration of the CAT Crewstation with the Ride Motion Simulator (RMS)” SAE 2006 World Congress & Exhibition, Paper 2006-01-1171, April 2006, Detroit, MI, USA
- OneSAF Website, http://www.onesaf.org.
- Elhajj I., Xi N., Fung W.K., Liu Y.H., Hasegawa Y., Fukuda T., “Supermedia Enhanced Internet Based Telerobotics”, in Proceedings of the IEEE, special issue on Networked Intelligent Robots Through the Internet, Vol. 91, No. 3, pp. 396-421, March 2003.