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A hierarchal planning framework for AUV mission management in a spatiotemporal varying ocean

Version 2 2024-06-05, 02:16
Version 1 2019-01-25, 15:11
journal contribution
posted on 2024-06-05, 02:16 authored by Somaiyeh MahmoudZadehSomaiyeh MahmoudZadeh, D M.W Powers, K Sammut, A Atyabi, A Yazdani
© 2018 Elsevier Ltd This paper provides a hierarchical dynamic mission planning framework for an AUV to accomplish task-assign process in a restricted time operating in uncertain undersea environment. A high-level reactive mission planner is developed for task priority assignment, guiding the vehicle toward a target of interest, and managing on-time mission completion. A low-level motion planner is also developed to handle unexpected changes of the dynamic terrain by re-generating optimal trajectories. The mission planner reactively re-arranges the tasks based on mission/terrain updates. As a result, the vehicle is able to undertake the maximum number of tasks with certain degree of maneuverability having situational awareness of the operating field. The Biogeography-Based Optimization (BBO) algorithm is used as the computational engine of the framework in both mission and motion planners. The simulations results indicate the significant potential of the proposed hierarchical framework in providing efficient solutions for mission success and its applicability for real-time implementation.

History

Journal

Computers and Electrical Engineering

Volume

67

Pagination

741-760

Location

Amsterdam, The Netherlands

ISSN

0045-7906

eISSN

1879-0755

Language

English

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2018, Elsevier

Publisher

PERGAMON-ELSEVIER SCIENCE LTD