Developing a navigation, guidance and obstacle avoidance algorithm for an Unmanned Surface Vehicle (USV) by algorithms fusion

Many USVs are equipped with navigation, guidance and control (NGC) algorithms due to human errors that is present in manual navigation of surface vehicles. The Morvarid, a catamaran shaped boat is designed and developed for plotting hydrography map of harbours. To control it autonomously, a fusion a...

Full description

Saved in:
Bibliographic Details
Published in:Ocean engineering Vol. 159; pp. 56 - 65
Main Authors: Mousazadeh, Hossein, Jafarbiglu, Hamid, Abdolmaleki, Hamid, Omrani, Elham, Monhaseri, Farshid, Abdollahzadeh, Mohammad-reza, Mohammadi-Aghdam, Aref, Kiapei, Ali, Salmani-Zakaria, Yousef, Makhsoos, Ashkan
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.07.2018
Subjects:
Kalman filter
Navigation
Obstacle avoidance
Search ball
Thrust
Search ball
Navigation
Obstacle avoidance
Kalman filter
Thrust
ISSN:0029-8018, 1873-5258
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Many USVs are equipped with navigation, guidance and control (NGC) algorithms due to human errors that is present in manual navigation of surface vehicles. The Morvarid, a catamaran shaped boat is designed and developed for plotting hydrography map of harbours. To control it autonomously, a fusion algorithm based on EKF, search ball and potential field concept is developed. Some main parameters of dynamic model is derived based on experimental tests and the algorithm is evaluated using hardware-in-the-loop concept. The obstacle avoidance algorithm is assessed for different obstacles in size and position. It is concluded that although the developed algorithm is robust and precise even in the presence of environmental disturbances, however installing powerful thrusters would boost maneuverability more than that is. •The USV rigid body dynamic model is defined by combination of experimental, simulation and conformance to some texts.•Combing EKF, search ball and potential field algorithms in a fusion concept could navigate the USV more accurately.•A successful obstacle avoidance is possible by considering the velocity vector of USV and obstacle and size of obstacle.
ISSN:0029-8018
1873-5258
DOI:10.1016/j.oceaneng.2018.04.018