NDLI: Novel flight management system for improved safety and sustainability in the CNS+A context

Content Provider	IEEE Xplore Digital Library
Author	Ramasamy, S. Sabatini, R. Gardi, A.
Copyright Year	2015
Description	Author affiliation: Sch. of Aerosp., Mech. & Manuf., RMIT Univ., Melbourne, VIC, Australia (Ramasamy, S.; Sabatini, R.; Gardi, A.)
Abstract	Avionic system developers are faced with the challenge of researching and introducing innovative technologies that satisfy the requirements arising from the rapid expansion of global air transport while addressing the growing concerns for environmental sustainability of the aviation sector. As a consequence, novel systems are being developed in the Communication, Navigation and Surveillance/Air Traffic Management (CNS/ATM) and Avionics (CNS+A) context. The introduction of dedicated software modules in Next Generation Flight Management Systems (NG-FMS), which are the primary providers of automated navigation and guidance services in manned aircraft and Remotely-Piloted Aircraft Systems (RPAS), has the potential to enable the significant advances brought in by time based operations. In this paper, key elements of the NG-FMS architecture are presented that allow the incorporation of 4-Dimensional Trajectory (4DT) planning and optimisation with inclusion of CNS integrity monitoring and augmentation functions in the overall design. The NG-FMS is designed to be fully interoperable with a future ground based 4DT Planning, Negotiation and Validation (4-PNV) system, enabling automated Trajectory/Intent-Based Operations (TBO/IBO). The mathematical models for 4DT planning are presented and the CNS integrity performance criteria are identified for various mission- and safety-critical tasks. Evaluation of the proposed concepts and methodologies is performed through dedicated simulation test case. The results demonstrate the functional capability of the NG-FMS to generate cost-effective trajectory profiles satisfying operational as well as environmental constraints.
File Size	514872
File Format	PDF
e-ISBN	9781479989522
DOI	10.1109/ICNSURV.2015.7121225
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atmospheric modeling Surveillance Aircraft navigation Trajectory Planning Aircraft Optimization
Content Type	Text
Resource Type	Article

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