Autonomous Mission Management for Forest Search with Multiple Unmanned Aerial Vehicles

Kemao Peng, Feng Lin, Ben M. Chen

2016

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.

Paper Citation

in Harvard Style

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, pages 385-392. DOI: 10.5220/0005949603850392

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Peng K.
AU - Lin F.
AU - Chen B.
PY - 2016
SP - 385
EP - 392
DO - 10.5220/0005949603850392