DocumentCode :
724500
Title :
Modelling, manoeuvring analysis and course following for two unmanned surface vehicles driven by a single propeller and double propellers
Author :
Jin Jiu-cai ; Zhang Jie ; Shao Feng
Author_Institution :
First Inst. of Oceanogr., State Oceanic Adm., Qingdao, China
fYear :
2015
fDate :
23-25 May 2015
Firstpage :
4932
Lastpage :
4937
Abstract :
This paper describes the development of two unmanned surface vehicles (USVs), driven by either a single propeller (called as USBV-I) or double propellers (called as USBV-II), for modelling, manoeuvring analysis, course following and experiments at the First Institute of Oceanography, State Oceanic Administration in China. First, the two USVs are presented. Second, a dynamics model is derived for the USVs based on three degrees-of-freedom equations, which differs from other works in the drag terms. The manoeuvring performance of the two USVs is evaluated and compared for both straight line and circular motion using simulations and experiments, which indicate that the manoeuvrability of USBV-II is superior. Using the identified model for USV-II from experiments´ data, the simulation for course following are implemented. Finally, course following lake experiments are performed for USBV-II using a digital compass and indicate that it has a good course following performance.
Keywords :
marine vehicles; motion control; position control; propellers; remotely operated vehicles; First Institute of Oceanography, State Oceanic Administration; USBV-II; USV; circular motion; course following; degrees-of-freedom equation; double propeller; dynamics model; manoeuvrability; manoeuvring analysis; manoeuvring performance; single propeller; unmanned surface vehicle; Dynamics; Lakes; Mathematical model; Propellers; Vehicle dynamics; Vehicles; Autonomous Control; Course Following; Manoeuvring Performance; Unmanned Surface Vehicle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
Type :
conf
DOI :
10.1109/CCDC.2015.7162807
Filename :
7162807
Link To Document :
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