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MONTE Python for Deep Space NavigationThe Mission Analysis, Operations, and Navigation Toolkit Environment (MONTE) is the Jet Propulsion Laboratory’s (JPL) signature astrodynamic computing platform. It was built to support JPL’s deep space exploration program, and has been used to fly robotic spacecraft to Mars, Jupiter, Saturn, Ceres, and many solar system small bodies. At its core, MONTE consists of low-level astrodynamic libraries that are written in C++ and presented to the end user as an importable Python language module. These libraries form the basis on which Python-language applications are built for specific astrodynamic applications, such as trajectory design and optimization, orbit determination, flight path control, and more. The first half of this paper gives context to the MONTE project by outlining its history, the field of deep space navigation and where MONTE fits into the current Python landscape. The second half gives an overview of the main MONTE libraries and provides a narrative example of how it can be used for astrodynamic analysis.
Document ID
20190025628
Acquisition Source
Jet Propulsion Laboratory
Document Type
Conference Paper
External Source(s)
Authors
Smith, Jonathan
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Taber, William
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Drain, Theodore
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Evans, Scott
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Evans, James
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Guervara, Michelle
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Schulze, William
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Sunseri, Richard
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Wu, Hsi-Cheng
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
June 3, 2019
Publication Date
July 11, 2016
Subject Category
Astrodynamics
Computer Programming And Software
Report/Patent Number
JPL-CL-16-3013
Report Number: JPL-CL-16-3013
Meeting Information
Meeting: Annual Scientific Computing with Python Conference (SciPy) 2016
Location: Austin, TX
Country: United States
Start Date: July 11, 2016
End Date: July 17, 2016
Sponsors: Enthought, Inc.
Distribution Limits
Public
Copyright
Other
Keywords
aerospace
trajectory
orbit
astrodynamics

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