Title
Real-Time Mission-Motion Planner for Multi-UUVs Cooperative Work Using Tri-Level Programing
Abstract
This article develops a novel mission-motion planner for unmanned underwater vehicles (UUVs) when dispatching them to visit a set of marine stations in a vast and time-varying environment. Specifically, a tri-level optimization model is built for the planner to finish the task with less energy cost. The lower-level is a motion planner, which provides safe and efficient paths with local environmental information. The middle-level is a mission planner, which designs a balanced station allocation mode as well as economical visitation sequences for each UUV concerning global information. The upper-level is a commander, which manages and synchronizes the two levels, so that UUVs can autonomously decide the next destination and corresponding paths in real-time. Thereafter, different heuristic algorithms are chosen according to each level property, and their initialization processes are modified to solve the optimization efficiently. Finally, the proposed model and algorithms present their outstanding performance in complex and large-scale cases.
Year
DOI
Venue
2022
10.1109/TITS.2020.3023819
IEEE Transactions on Intelligent Transportation Systems
Keywords
DocType
Volume
Real-time mission-motion planning,tri-level optimizations,multi-UUVs large-scale cooperative tasks,time-varying environments
Journal
23
Issue
ISSN
Citations 
2
1524-9050
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Siqing Sun100.34
Song Bao-wei2165.95
Peng Wang321.04
Huachao Dong4152.70
Xiao Chen500.34