ICUAS'23 Paper Abstract

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Paper ThA4.2

Ao, Zihang (China Satellite Maritime Measurement and Control Department), Zhang, Yulong (Xi'an University of Technology), Huang, Jing (Xi'an University of Technology), Lin, YiCheng (China Satellite Maritime Measurement and Control Department), Zhou, Xiaodeng (China Satellite Maritime Measurement and Control Department), Zhang, Youmin (Concordia University)

Multi-UAV Cooperative Search Planning Algorithm Based on Dynamic Target Probability Model

Scheduled for presentation during the Regular Session "Swarms" (ThA4), Thursday, June 8, 2023, 09:20−09:40, Room 465

2023 International Conference on Unmanned Aircraft Systems (ICUAS), June 6-9, 2023, Lazarski University, Warsaw, Poland

This information is tentative and subject to change. Compiled on March 29, 2024

Keywords Swarms, Path Planning, Simulation

Abstract

This paper presents an online planning algorithm for multiple Unmanned Aerial Vehicles (UAVs) cooperative search tracks based on Distributed Model Predictive Control (DMPC) for dynamic targets. To address the centralized multi-UAV collaboration problem, the proposed approach transforms it into a distributed subsystem MPC problem under the framework of DMPC. Firstly, a dynamic target Statistical Probability Map (SPM) update model is established. Next, the system optimal solution is obtained by combining Nash optimization and rolling optimization A-star algorithm through iterating the MPC problem of each subsystem. The simulation results demonstrate the efficacy of the proposed dynamic target SPM model in improving search efficiency. Furthermore, the scrolling-optimized A-star algorithm improves the accuracy and speed of subsystem single-step search. In conclusion, the DMPC method significantly reduces the solving scale of cooperative search problems while ensuring high solving accuracy.

 

 

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