The Thermal Motion Equivalent Method for Airplane-Type Agents

Multi-agent system has significant potential for applications ranging from agriculture and environmental monitoring to logistics due to its decentralised and scalable properties. Various multi-agent system control methods are currently known, such as virtual leader, vector and potential field methods, and behavioural algorithms. This paper introduces a novel approach to control the interaction of airplane-type agents utilizing the thermal motion equivalent method. Through numerical simulations employing a simplified model of airplane dynamics in the horizontal plane, the proposed controller’s efficacy is evaluated, focusing on collision avoidance among agents and boundary avoidance within the designated area. The study observes alterations in agent velocities pre and post interaction, with the root mean square velocity conserved, indicating a transfer of kinetic energy equivalent among agents. This paper presents results of numerical simulations of the interaction of a single agent with the area boundary, as well as the interaction of 5 agents. The results highlight the stability of the multiagent system and the successful emulation of agents’ behavioral resemblance to atoms’ thermal motion. This research contributes to advancing understanding and implementation of multi-agent system control strategies, particularly in scenarios mimicking natural phenomena.