Affiliation:
1. Maritime Unmanned Intelligent Operation Technology Innovation Center, Naval University of Engineering, Wuhan 430033, China
2. College of Electronic Engineering, Naval University of Engineering, Wuhan 430033, China
Abstract
The formation of unmanned surface vehicles (USVs) stands as a paramount concern in USV formation control research. In addressing this, this paper introduces a novel formation strategy for USVs, which accounts for their arbitrary initial positions and headings. Firstly, given the random distribution of the USVs’ initial positions, to enhance the efficiency of formation assembly, the point set of the USVs is matched with basic formations using the Hausdorff distance to establish the formation. Building upon this foundation and acknowledging the potential hindrance posed by the arbitrary initial headings of the USVs, which could hinder their ability to reach the designated formation target points, a cost matrix is constructed based on the designed distance–azimuth evaluation function. Subsequently, the Hungarian algorithm is utilized to efficiently assign formation target points for the USVs. Ultimately, the effectiveness of the proposed strategy is validated through simulation experiments.
Funder
Natural Science Foundation of Hubei Province
Reference24 articles.
1. System for deployment of groups of unmanned micro aerial vehicles in GPS-denied environments using on board visual relative localization;Saska;Auton. Robot.,2017
2. Ghamry, K.A., Dong, Y., Kamel, M.A., and Zhang, Y. (2016, January 21–24). Real-time autonomous take-off, tracking and landing of UAV on a moving UGV platform. Proceedings of the 24th IEEE Mediterranean Conference on Control and Automation, Athens, Greece.
3. Coordination of groups of mobile autonomous agents using nearest neighbor rules;Jadbabaie;IEEE Trans. Autom. Control,2003
4. Route planning for unmanned aerial vehicle on the sea using hybrid differential evolution and quantum-behaved particles warm optimization;Fu;IEEE Trans. Syst. Man Cybern. Syst.,2013
5. Tan, K.H., and Lewis, M.A. (1996, January 4–8). Virtual structures for high-precision cooperative mobile robotic control. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Osaka, Japan.