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...

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Vydáno v:Ocean engineering Ročník 159; s. 56 - 65
Hlavní autoři: Mousazadeh, Hossein, Jafarbiglu, Hamid, Abdolmaleki, Hamid, Omrani, Elham, Monhaseri, Farshid, Abdollahzadeh, Mohammad-reza, Mohammadi-Aghdam, Aref, Kiapei, Ali, Salmani-Zakaria, Yousef, Makhsoos, Ashkan
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.07.2018
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ISSN:0029-8018, 1873-5258
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Shrnutí: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