Architecture and Algorithm of Formation control of Multi-unmanned vehicles Based on Swarm intelligence
Open Access
- 1 January 2021
- journal article
- research article
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 1721 (1), 012028
- https://doi.org/10.1088/1742-6596/1721/1/012028
Abstract
The main contents of this dissertation are the application of swarm intelligence to multi-unmanned vehicle system and the realization of cooperative control of multi-unmanned vehicle system. Firstly, this thesis introduces the research background and significance of multi-unmanned vehicle system and swarm intelligence. Secondly, we introduce the research contents of cooperative control of multi-unmanned vehicle system. Then the research status of cooperative control of multi-unmanned vehicle system in the domestic and overseas are introduced. Finally, this dissertation summarizes the mainstream types of architecture and algorithm of the multi-unmanned vehicle system.This publication has 8 references indexed in Scilit:
- Analysis of global momentum transfer due to buried mine detonationDefence Technology, 2019
- Adaptive output control of a mobile manipulator hanging from a quadcopter unmanned vehicleISA Transactions, 2019
- Swarm debugging: The collective intelligence on interactive debuggingJournal of Systems and Software, 2019
- Metallurgical characteristics of armour steel welded joints used for combat vehicle constructionDefence Technology, 2018
- Measurement of the spatial specific impulse distribution due to buried high explosive charge detonationDefence Technology, 2017
- Metallurgical analysis of a failed maraging steel shear screw used in the band separation system of a satellite launch vehicleDefence Technology, 2016
- Analysis of hydrodynamic characteristics of unmanned underwater vehicle moving close to the sea bottomDefence Technology, 2014
- Haptic assisted aircraft optimal assembly path planning scheme based on swarming and artificial potential field approachAdvances in Engineering Software, 2014