Title :
Optimized design of an unmanned surface vehicle
Author :
Kanakakis, V. ; Spanoudakis, P. ; Tsourveloudis, N.
Author_Institution :
Intell. Syst. & Robot. Lab., Tech. Univ. of Crete, Chania, Greece
Abstract :
A multi-role unmanned surface vehicle (USV) has been recently designed at the Technical University of Crete. This paper highlights the methodology used for the optimized design. A market research was initially performed so as to evaluate the global USV´s market. Based on the relevant market findings, certain characteristics and performance specifications were set. An iterative genetic algorithm process was utilized to ensure compliance with the desired characteristics. Finite element modelling was used in tandem with genetic optimization so as to justify design´s feasibility. Open sea tests that carried out evaluated the actual performance of the USV.
Keywords :
finite element analysis; genetic algorithms; market research; product design; remotely operated vehicles; ships; Crete technical university; finite element modelling; global USV market; iterative genetic algorithm process; market research; multi-role unmanned surface vehicle; open sea tests; optimized ship design; Design optimization; Genetic algorithms; Intelligent robots; Marine vehicles; Market research; Prototypes; Remotely operated vehicles; Sea surface; Surveillance; Testing; Ship Design; Unmanned Surface Vehicle;
Conference_Titel :
ELMAR, 2009. ELMAR '09. International Symposium
Conference_Location :
Zadar
Print_ISBN :
978-953-7044-10-7