DOI QR코드

DOI QR Code

Simulation-Based Prediction of Steady Turning Ability of a Symmetrical Underwater Vehicle Considering Interactions Between Yaw Rate and Drift/Rudder Angle

  • Received : 2020.11.15
  • Accepted : 2021.03.09
  • Published : 2021.04.30

Abstract

The prediction of maneuverability is very important in the design process of an underwater vehicle. In this study, we predicted the steady turning ability of a symmetrical underwater vehicle while considering interactions between the yaw rate and drift/rudder angle through a simulation-based methodology. First, the hydrodynamic force and moment, including coupled derivatives, were obtained by computational fluid dynamics (CFD) simulations. The feasibility of CFD results were verified by comparing static drift/rudder simulations to vertical planar motion mechanism (VPMM) tests. Turning motion simulations were then performed by solving 2-degree-of-freedom (DOF) equations with CFD data. The turning radius, drift angle, advance, and tactical diameter were calculated. The results show good agreement with sea trial data and the effects on the turning characteristics of coupled interaction terms, especially between the yaw rate and drift angle.

Keywords

References

  1. Ansys Inc. (2018). Fluent Theory Guide 19.2.
  2. Bae, J.Y., Sohn, K.H., & Kim, J. (2009). A Study on Manoeuvring Motion of Manta-Type Unmanned Undersea Vehicle. Journal of the Society of Naval Architecture of Korea, 46(2), 114-126. https://doi.org/10.3744/SNAK.2010.47.3.328
  3. de Barros, E.A., & Dantas, J.L.D. (2012). Effect of a Propeller Duct on AUV Maneuverability. Ocean Engineering, 42, 61-70. https:// doi.org/10.1016/j.oceaneng.2012.01.014
  4. Cheon, K.H., Seok, W.C., Park, J.Y., Seo, J.H., & Rhee, S.H. (2018). Virtual Captive Model Tests of Submarine with X-Form Configuration Using Dynamic Mesh Methods. Journal of Computational Fluids Engineering, 23(2), 86-93. https://doi.org/10.6112/kscfe.2018. 23.2.086
  5. Dantas, J.L.D., & de Barros, E.A. (2013). Numerical Analysis of Control Surface Effects on AUV Manoeuvrability. Applied Ocean Research, 42, 168-181. https://doi.org/10.1016/j.apor.2013.06.002
  6. Dubbioso, G., Broglia, R., & Zaghi, S. (2017). CFD Analysis of Turning Abilities of a Submarine Model. Ocean Engineering, 129, 459-479. https://doi.org/10.1016/j.oceaneng.2016.10.046
  7. Feldman, J. (1979). DTNSRDC Revised Standard Submarine Equations of Motion (DTNSRDC SPD-0303-09). David W. Taylor Naval Slu'p Research and Development Center.
  8. Gertler, M., & Hagen, G.R. (1967). Standard Equations of Motion for Submarine Simulation. NSRDC-Report SR 009 01 01, Task 0102.
  9. Go, G.S., Ahn, H.T., & Ahn, J.H. (2017). Simulation-Based Determination of Hydrodynamic Derivatives and 6DOF Motion Analysis for Underwater Vehicle. Journal of Ocean Engineering and Technology, 31(5), 371-377. https://doi.org/10.26748/KSOE.2017.10.31.5.371
  10. Healey, A.J., & Lienard, D. (1993). Multivariable Sliding-Mode Control for Autonomous Underwater Vehicles. IEEE Journal of Ocean Engineering, 18(3), 327-339. https://doi.org/10.1109/JOE.1993.236372
  11. Huang, H., Zhou, Z., Li, H., Zhou, H., & Xu, Y. (2020). The Effects of the Circulating Water Tunnel Wall and Support Struts on Hydrodynamic Coefficients Estimation for Autonomous Underwater Vehicles. International Journal of Naval Architecture and Ocean Engineering, 12, 1-10. https://doi.org/10.1016/j.ijnaoe.2019.04.008
  12. Jeon, M.J., Yoon, H.K., Hwang, J.H., & Cho, H.J. (2018). Analysis of the Dynamic Characteristics for the Change of Design Parameters of an Underwater Vehicle Using Sensitivity Analysis. International Journal of Naval Architecture and Ocean Engineering, 10, 508-519. https:// doi.org/10.1016/j.ijnaoe.2017.10.010
  13. Jeong, J.H., Han, J.H., Ok, J.H., Kim, H.D., Kim, D.H., Shin, Y.K., & Lee, S.K. (2016). Prediction of Hydrodynamic Coefficients for Underwater Vehicle Using Rotating Arm Test. Journal of Ocean Engineering and Technology, 30(1), 25-31. https://doi.org/10.5574/ KSOE.2016.30.1.025
  14. Kim, J.H., & Chung, W.K. (2007). Thruster Modeling for Underwater Vehicle with Ambient Flow Velocity and its Incoming Angle. The Journal Society of Korea Robotics Society, 2(2), 109-118.
  15. Kim, T.W., Kang, T.J., Park, W.G., & Jung, C.M. (2015). Estimation of Roll Coefficient of Underwater Vehicle Using a Calculation of Hydrodynamic Forces. Journal of Computational Fluids Engineering, 20(2), 81-87. https://doi.org/10.6112/kscfe.2015.20.2.081
  16. Kim, Y.G., Yun, G.H., Kim, S.Y., & Kim, D.J. (2012). Captive Model Test of Submerged Body Using CPMC. Journal of the Society of Naval Architecture of Korea, 49(4), 296-303. https://doi.org/10.3744/ SNAK.2012.49.4.296
  17. Nguyen, T.T., Yoon, H.K., Park, Y.B., & Park, C.J. (2018). Estimation of Hydrodynamic Derivatives of Full-Scale Submarine using RANS Solver. Journal of Ocean Engineering and Technology, 32(5), 386-392. https://doi.org/10.26748/KSOE.2018.6.32.5.386
  18. Park, J.H., Shin, M.S., Choi, J.Y., Hwang, J.H., Shin, Y.H., & Kim, Y.G. (2016). An Experimental Study on Effect of Angle of Attack on Elevator Control Force for Underwater Vehicle with Separate Fixed Fins. Journal of Ocean Engineering and Technology, 30(4), 243-252. https://doi.org/10.5574/KSOE.2016.30.4.243
  19. Park, J.Y., Kim, N.W., Rhee, K.P., Kim, C.K., Jung, C.M., Ahn, K.S., & Lee, S.K. (2015). Study on Coning Motion Test for Submerged Body. Journal of Ocean Engineering and Technology, 29(6), 436-444. https://doi.org/10.5574/KSOE.2015.29.6.436
  20. Seol, D.M., Rhee, K.P., & Yeo, D.J. (2005). An Experimental Study of the Submerged Depth Effect on the Manoeuvrability in a Horizontal Plane of an Underwater Vehicle. Journal of the Society of Naval Architecture of Korea, 42(6), 551-558. https://doi.org/10.3744/SNAK.2005.42.6.551
  21. Wang, X., & Liang, S. (2019). Maneuverability Analysis of a Novel Portable Modular AUV. Hindawi Mathematical Problems in Engineering, 2019, 1-17. https://doi.org/10.1155/2019/1631930