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UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer

Lee, Dong-Seop, Gonzalez, Luis Felipe, & Periaux, Jacques (2010) UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer. Journal of Dynamic Systems, Measurement, and Control, 132(4).

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    Abstract

    This paper presents the application of advanced optimization techniques to unmanned aerial system mission path planning system (MPPS) using multi-objective evolutionary algorithms (MOEAs). Two types of multi-objective optimizers are compared; the MOEA nondominated sorting genetic algorithm II and a hybrid-game strategy are implemented to produce a set of optimal collision-free trajectories in a three-dimensional environment. The resulting trajectories on a three-dimensional terrain are collision-free and are represented by using Bézier spline curves from start position to target and then target to start position or different positions with altitude constraints. The efficiency of the two optimization methods is compared in terms of computational cost and design quality. Numerical results show the benefits of adding a hybrid-game strategy to a MOEA and for a MPPS.

    Impact and interest:

    2 citations in Scopus
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    1 citations in Web of Science®

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    ID Code: 34099
    Item Type: Journal Article
    Keywords: Mission Path Planning System , Hybrid-Game , Optimisation, UAS
    DOI: 10.1115/1.4001336
    ISSN: 0022-0434
    Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Numerical Analysis (010301)
    Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > NUMERICAL AND COMPUTATIONAL MATHEMATICS (010300) > Optimisation (010303)
    Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aircraft Performance and Flight Control Systems (090104)
    Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
    Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
    Copyright Owner: Copyright 2010 ASME - American Society Mechanical Engineering
    Deposited On: 12 Aug 2010 13:57
    Last Modified: 01 Mar 2012 00:20

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