System identification on rotation motion pattern of trimaran unmanned surface vessel

Author

Cui, Jian ; Wang, Pengyu ; Yang, Songlin ; Yuan, Jingpin ; Zhao, Nan ; Wu, Wei

Author_Institution

Sch. of Naval Archit. & Ocean Eng., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China

Volume

1

fYear

2010

fDate

10-12 Dec. 2010

Firstpage

250

Lastpage

253

Abstract

This article studied on the rotation motion of trimaran unmanned surface vessel. The experiment has been based on the trimaran unmanned surface vessel model. We selected the Genetic algorithm as the optimization method first, then identified the test data of trimaran unmanned surface vessel rotation motion by the program assisted with ISIGHT-FD software. Having compared the identified results with the test data and analyzed the error, we got the identified result matched the test result well from a set of compared data plots. The trimaran unmanned surface vessel model and its control system have important value for research and have good reference value for practical applications of unmanned surface vessels.

Keywords

boats; control engineering computing; genetic algorithms; identification; remotely operated vehicles; ISIGHT system FD software; genetic algorithm; rotation motion pattern; system identification; trimaran unmanned surface vessel; Engines; Genetics; Global Positioning System; Legged locomotion; Planning; Trajectory; genetic algorithm; identification system; rotation test; trimaran unmanned surface vessel;

fLanguage

English

Publisher

ieee

Conference_Titel

Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-6788-4

Type

conf

DOI

10.1109/PIC.2010.5687456

Filename

5687456