DocumentCode
720470
Title
4-dimensional trajectory generation algorithms for RPAS Mission Management Systems
Author
Gardi, Alessandro ; Ramasamy, Subramanian ; Sabatini, Roberto
Author_Institution
Sch. of Aerosp., Mech. & Manuf. Eng., RMIT Univ., Melbourne, VIC, Australia
fYear
2015
fDate
9-12 June 2015
Firstpage
386
Lastpage
394
Abstract
This paper presents the algorithms enabling real-time 4-Dimensional Flight Trajectory (4DT) functionalities in Next Generation Mission Management Systems (NG-MMS), which are the core element of future Remotely Piloted Aircraft Systems (RPAS) avionics. In particular, the algorithms are employed for multi-objective optimisation of 4DT intents in various operational scenarios spanning from online strategic to tactical and emergency tasks. The adopted formulation of the multi-objective 4DT optimisation problem includes a number of environmental objectives and operational constraints. In particular, this paper describes the algorithm for planning of 4DT based on a multi-objective optimisation approach and the generalised expression of the cost function adopted for penalties associated with specific airspace volumes, accounting for weather, condensation trails and noise models.
Keywords
aircraft; autonomous aerial vehicles; optimisation; trajectory control; 4-dimensional flight trajectory functionalities; 4-dimensional trajectory generation algorithms; 4DT; NG-MMS; RPAS; RPAS mission management systems; airspace volumes; condensation trails; cost function; emergency tasks; multiobjective 4DT optimisation problem; next generation mission management systems; noise models; online strategic tasks; operational scenarios; remotely piloted aircraft systems avionics; tactical tasks; Air traffic control; Aircraft; Atmospheric modeling; Optimization; Planning; Real-time systems; Trajectory; 4-Dimensional Trajectory; Air Traffic Management; Flight Management System; Trajectory Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Unmanned Aircraft Systems (ICUAS), 2015 International Conference on
Conference_Location
Denver, CO
Print_ISBN
978-1-4799-6009-5
Type
conf
DOI
10.1109/ICUAS.2015.7152314
Filename
7152314
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