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Authors: Kemao Peng ; Feng Lin and Ben M. Chen

Affiliation: National University of Singapore, Singapore

Keyword(s): Unmanned Aerial Systems, Autonomy of UAVs, Multiple UAVs.

Related Ontology Subjects/Areas/Topics: Control and Supervision Systems ; Distributed Control Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Modeling, Analysis and Control of Hybrid Dynamical Systems ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: An autonomous mission management (AMM) system is designed with the enhanced hierarchical-distributed methodology (HDM) for multiple unmanned aerial vehicles (UAVs) to search a field of forest together. The main ideas of the enhanced HDM are hierarchical control and distributed implementation. The event control law is partitioned into the group and individual event control laws. The group event control law is to coordinate the group of UAVs to complete the designated mission and the individual event control laws are to complete the assigned submissions/ tasks accordingly. The group event control law is executed by the leader and any member can be designated or selected as the leader on the rules. The forest search is applied to verify the designed AMM system in simulation. The simulation results demonstrate that the designed AMM system is successful to complete the designated mission by collaborating the group of UAVs.

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Paper citation in several formats:
Peng, K.; Lin, F. and Chen, B. (2016). Autonomous Mission Management for Forest Search with Multiple Unmanned Aerial Vehicles. In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-198-4; ISSN 2184-2809, SciTePress, pages 385-392. DOI: 10.5220/0005949603850392

@conference{icinco16,
author={Kemao Peng. and Feng Lin. and Ben M. Chen.},
title={Autonomous Mission Management for Forest Search with Multiple Unmanned Aerial Vehicles},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2016},
pages={385-392},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005949603850392},
isbn={978-989-758-198-4},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Autonomous Mission Management for Forest Search with Multiple Unmanned Aerial Vehicles
SN - 978-989-758-198-4
IS - 2184-2809
AU - Peng, K.
AU - Lin, F.
AU - Chen, B.
PY - 2016
SP - 385
EP - 392
DO - 10.5220/0005949603850392
PB - SciTePress

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