Modeling, Simulation, and High-autonomy Control of a Martian Oxygen Production Plant

Larry C. Schooley
Department of Electrical and Computer Engineering
The University of Arizona
Tucson, Arizona 85721
U.S.A.
Email: Schooley@ECE.Arizona.Edu
François E. Cellier
Institute of Computational Science
ETH Zürich
CH-8092 Zürich
Switzerland
Email: FCellier@Inf.ETHZ.CH
FeiYue Wang
Department of Systems and Industrial Engineering
The University of Arizona
Tucson, Arizona 85721
U.S.A.
Email: FeiYue@SIE.Arizona.Edu
Bernard P. Zeigler
Arizona Center for Integrative Modeling & Simulation
Department of Electrical and Computer Engineering
The University of Arizona
Tucson, Arizona 85721
U.S.A.
Email: Zeigler@ECE.Arizona.Edu

Abstract

Progress on a project for the development of a high-autonomy intelligent command and control architecture for process plants used to produce oxygen from local planetary resources is reported. A distributed command and control architecture is being developed and implemented so that an oxygen production plant, or other equipment, can be reliably commanded and controlled over an extended time period in a high-autonomy mode with high-level task-oriented teleoperation from one or several remote locations. During the reporting period, progress was made at all levels of the architecture. At the remote site, several remote observers can now participate in monitoring the plant. At the local site, a command and control center was introduced for increased flexibility, reliability, and robustness. The local control architecture was enhanced to control multiple tubes in parallel, and was refined for increased robustness. The simulation model was enhanced to full dynamics descriptions.

Homepage