DocumentCode :
407241
Title :
Hydrodynamic modeling of LMRS unmanned underwater vehicle and tow tank test validation
Author :
Hwang, Yuh-Lin
Author_Institution :
Boeing Co., Anaheim, CA, USA
Volume :
3
fYear :
2003
fDate :
22-26 Sept. 2003
Firstpage :
1425
Abstract :
A rapid engineering method using body build-up approach to predict nonlinear hydrodynamic forces and moments on the Long Term Mine Reconnaissance System (LMRS) autonomous, unmanned underwater vehicle (UUV) is presented. Semiempirical equations representing the hydrodynamic model for calculating loads on the UUV´s geometric components, such as bare body, control fins, recovery ring, and Thrust-Vectored Pumpjet (TVPJ) propulsor are described. Numerical results of the predicted total forces and moments on the vehicle are presented over a range of angle of attacks, vehicle speeds, control fin deflections, and propulsion ratios. The hydrodynamic performances of the vehicle were studied. The results indicated that the vehicle stability tends to decrease with increasing speed, and the control fin effectiveness decreases with decreasing speed and propulsion ratio. Excellent agreement was obtained between the predicted results and test data measured from full-scale model testing conduced at David Taylor Model Basin. The results of the study and tow tank test are described.
Keywords :
hydrodynamics; oceanographic techniques; underwater vehicles; David Taylor Model Basin; LMRS unmanned underwater vehicle; Long Term Mine Reconnaissance System; TVPJ propulsor; Thrust-Vectored Pumpjet; UUV; angle of attack range; autonomous unmanned underwater vehicle; bare body; body build-up approach; control fin; full-scale model testing; geometric component; hydrodynamic modeling; hydrodynamic vehicle performance; predicted total force; propulsion ratio; rapid engineering method; recovery ring; semiempirical equation; tow tank test validation; vehicle moment; vehicle speed; vehicle stability; Automotive engineering; Hydrodynamics; Land mobile radio; Load modeling; Nonlinear equations; Predictive models; Propulsion; Reconnaissance; Testing; Underwater vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 2003. Proceedings
Conference_Location :
San Diego, CA, USA
Print_ISBN :
0-933957-30-0
Type :
conf
DOI :
10.1109/OCEANS.2003.178071
Filename :
1282585
Link To Document :
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