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2015 | 22 | Special Issue S1 |

Tytuł artykułu

Stability control of propeller autonomous underwater vehicle based on combined sections method

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Learning from the motion principle of quadrotor, a symmetric propeller AUV, which has small size and low velocity is designed. Compared with the AUV equipped with rudders, it has better maneuverability and manipulation at low velocity. According to the Newton-Euler method, the 6 DOF kinematic model and dynamic model of the propeller AUV are established. A stability controller that consists of 3 different PID controllers is designed. It makes the depth and attitude angle as trigger conditions, and the relevant controller is chosen in different moving process. The simulation experiments simulate ideal motion state and disturbed motion state, and experiments results show that the stability controller based on combined sections method can make the best of mature technology of PID, and meet the control requirements in different stages. It has a higher respond speed and accuracy, improving the stability of the propeller AUV under the disturbance of complex ocean currents

Słowa kluczowe

Wydawca

-

Rocznik

Tom

22

Opis fizyczny

p.157-162,fig.,ref.

Twórcy

autor
  • Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
autor
  • Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
autor
  • Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
autor
  • Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
autor
  • Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China
autor
  • Engineering University of CAPF, Xi'an 710086, China
autor
  • Department of Geology, Faculty of Science, University of Malaya, 50603 Kuala Lampur, Malaysia
  • Faculty of Science and Natural Resources, University Malaysia Sabah, 88400 Kota Kinabalu, Sabah, Malaysia

Bibliografia

  • 1. Forrest A L, Laval B, Doble M J, et al. AUV measurements of under ice thermal structure[C]//Proceedings of MTS/ IEEE OCEANS 2008. Quebec City: IEEE Press, 2008:1-10.
  • 2. Jun B H, Park J Y, Lee F Y, et al. Development of the AUV ‘ISiMI’ and a free running test in an ocean engineering basin [J]. Ocean Engineering, 2009, 36(1): 2-14.
  • 3. PETRCH J, WOOLSEY C A, STILWELL D J. Planar flow model identification for improved navigation of small AUVs [J]. Ocean Engineering, 2009, 36(1): 119-131.
  • 4. JIANG Jun, SONG Baowei, PAN Guang, et al. Study on design of shape and hydrodynamic layout for ultra-lowspeed AUV [J]. TORPEDO TECHNOLOGY, 2011, 19(5): 321-324.
  • 5. JIA Heming. Study of spatial target tracking nonlinear control of underactuated UUV based on backstepping [D]. Harbin: Harbin Engineering University, 2012.
  • 6. DU Bing. Dynamic behavior and control strategy of a landing AUV [D]. Tianjin: Tianjin University, 2012.
  • 7. YAN Weisheng. Torpedo sailing mechanics[M]. Xi’an: Northwestern Polytechnical University Press, 2005
  • 8. Do K D, Pan J. Robust and adaptive path following for underactuated autonomous underwater vehicles. Proceedings of the American Control Conference, Denver, CO, USA, 2003,3:1994-1999
  • 9. Roberts A, Tayebi A. Adaptive position tracking of VTOL UAVs [J]. IEEE Transactions on Robotics, 2011, 27(1):129142
  • 10. Sarath B S, Kumar C S, Faruqi M A. A neural network online controller for autonomous underwater vehicle. Industrial Technology,2006:2320-2324
  • 11. CONG Shuang, SONG Ruixiang, Qian Zhen, et al. Improved B-spline fuzzy neural networks [J]. Control Theory and applications, 2001, 18(2): 277-280.
  • 12. ZHAO Jing. AUV fuzzy neutral network hybrid learning algorithm control [D]. Harbin: Harbin Engineering University, 2007.
  • 13. ZHANG Bo. Research on fuzzy PID controller [J]. Journal of Software Guide, 2010, 9(1):22-25.
  • 14. SUN Wei. Research on low cost flight control and application of UAV [D]. Nanjing: Nanjing University of Aeronautics and Astronautics. College of Aerospace Engineering, 2011
  • 15. LI Guodong, SONG Zili, WU Hua, et al. Design of stability augmentation hybrid controller for a quadrotor unmanned air vehicle [J]. JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY, 2013,45(5):86-90.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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