Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (5): 957-970.doi: 10.16182/j.issn1004731x.joss.22-0002

• Papers • Previous Articles     Next Articles

Simulation of Real-Time Path Planning and Formation Control for Unmanned Surface Vessel

Dalei Song1,2(), Wenhao Gan1, Yingzhi Xu3, Xiuqing Qu1, Jiangli Cao4()   

  1. 1.College of Engineering, Ocean University of China, Qingdao 266100, China
    2.Institute for Advanced Ocean Study, Ocean University of China, Qingdao 266100, China
    3.College of Information Science Engineering, Ocean University of China, Qingdao 266100, China
    4.709th Research Institute, China Shipbuilding Industry Corporation, Wuhan 430205, China
  • Received:2022-01-03 Revised:2022-02-10 Online:2023-05-30 Published:2023-05-22
  • Contact: Jiangli Cao E-mail:songdalei@ouc.edu.cn;jlcao_wh@163.com

Abstract:

Safety and collision-free navigation are the basis of normal navigation of an unmanned surface vessel. The high-fidelity virtual ocean is constructed by using Unity3D.On the basis of the vessel modeling, a real-time path planning and formation control method for unknown complex environments is proposed. Firstly, the local environment information is obtained by the laser sensor. Then the real-time local path planning is completed by combining A-star and route-thinning methods under the replanning strategy. In addition, formation control is carried out based on the leader-follower strategy and consistency method, and the artificial potential field is used to complete the navigation task of the unmanned surface vessel in terms ofobstacle avoidance. The simulation experiments on various complex scenarios show that the system has excellent authenticity and visual effects and provides an effective means for simulating vessel navigation. At the same time, based on the proposed algorithm, the vessel fleet can arrive at the preset waypoints successively and independently change the formation to avoid obstacles in real-time, which has certain theoretical significance and practicability in engineering applications.

Key words: unmanned surface vessel, motion simulation, scenario simulation, path planning, formation control

CLC Number: