An Automatic Navigation System for Unmanned Surface Vehicles in Realistic Sea Environments
School of Marine Electrical Engineering, Dalian Maritime University, Dalian 116026, China
Author to whom correspondence should be addressed.
Received: 30 December 2017 / Revised: 17 January 2018 / Accepted: 23 January 2018 / Published: 28 January 2018
In recent years, unmanned surface vehicles (USVs) have received notable attention because of their many advantages in civilian and military applications. To improve the autonomy of USVs, this paper describes a complete automatic navigation system (ANS) with a path planning subsystem (PPS) and collision avoidance subsystem (CAS). The PPS based on the dynamic domain tunable fast marching square (DTFMS) method is able to build an environment model from a real electronic chart, where both static and dynamic obstacles are well represented. By adjusting the
, the generated path can be changed according to the requirements for security and path length. Then it is used as a guidance trajectory for the CAS through a dynamic target point. In the CAS, according to finite control set model predictive control (FCS-MPC) theory, a collision avoidance control algorithm is developed to track trajectory and avoid collision based on a three-degree of freedom (DOF) planar motion model of USV. Its target point and security evaluation come from the planned path and environmental model of the PPS. Moreover, the prediction trajectory of the CAS can guide changes in the dynamic domain model of the vessel itself. Finally, the system has been tested and validated using the situations of three types of encounters in a realistic sea environment.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Sun, X.; Wang, G.; Fan, Y.; Mu, D.; Qiu, B. An Automatic Navigation System for Unmanned Surface Vehicles in Realistic Sea Environments. Appl. Sci. 2018, 8, 193.
Sun X, Wang G, Fan Y, Mu D, Qiu B. An Automatic Navigation System for Unmanned Surface Vehicles in Realistic Sea Environments. Applied Sciences. 2018; 8(2):193.
Sun, Xiaojie; Wang, Guofeng; Fan, Yunsheng; Mu, Dongdong; Qiu, Bingbing. 2018. "An Automatic Navigation System for Unmanned Surface Vehicles in Realistic Sea Environments." Appl. Sci. 8, no. 2: 193.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.