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Developing an Ontology for Autonomous Entities in a Virtual Reality: The PRESTO Experience Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Modeling and Simulation for UAS Integration into the United States National Airspace System and NextGen

Authors : Richard S. Stansbury, John Robbins, Massood Towhidnejad, Brent Terwilliger, Mohammad Moallemi, Jayson Clifford

Published in: Modelling and Simulation for Autonomous Systems

Publisher: Springer International Publishing

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Abstract

Airspace integration is a major challenge that must be addressed for wider unmanned aircraft system (UAS) acceptance and one-day ubiquitous operations. Both research and training play a role in addressing these challenges, which are cross-disciplinary. Embry-Riddle Aeronautical University (ERAU) is heavily invested in promoting the safe integration of UAS into both the United States National Airspace System (NAS) as well its future under the FAA NextGen programs planned upgrades. This paper surveys ERAUs use of modeling and simulation (M&S) to address the relevant challenges including development of flight management systems (FMS) for UAS to operate amongst manned air traffic, the development of aircraft performance models for various UAS categories, the application of simulator technologies to UAS flight crew training, and the creation of virtual labs to provide realistic training experience for UAS system configuration and testing.

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previous chapter Improving Robotic and Autonomous Systems Information Interoperability
next chapter Modeling and Simulation Interoperability Concepts for Multidisciplinarity, Interdisciplinarity, and Transdisciplinarity – Implications for Computational Intelligence Enabling Autonomous Systems
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Metadata
Title
Modeling and Simulation for UAS Integration into the United States National Airspace System and NextGen
Authors
Richard S. Stansbury
John Robbins
Massood Towhidnejad
Brent Terwilliger
Mohammad Moallemi
Jayson Clifford
Copyright Year
2015
Book
Modelling and Simulation for Autonomous Systems

Print ISBN: 978-3-319-22382-7

Electronic ISBN: 978-3-319-22383-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-22383-4_4

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