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Position Control and Stabilization of Fully Actuated AUV using PID Controller

  • Mohanad M. HammadEmail author
  • Ahmed K. Elshenawy
  • M. I. El Singaby
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 16)

Abstract

This paper presents an inverse kinematic model for an Autonomous Underwater Vehicle (AUV) with 8 thrusters. The vehicle configuration allow the AUV to have a fully-actuated 6 Degrees of freedom (DOF). Rigid body dynamic model and water environment hydrodynamic model are used in this study. The model is implemented and tested using Matlab and Simulink. A 3D model of the AUV is designed for illustration in this work using Autodesk MAYA. Cascaded position and velocity control approach is studied. A conventional linear Proportional Integral Derivative (PID) controller is used for speed control and PD controller for the position control. Ocean current disturbances are introduced to test the system and control stability. Validation of the model is performed with tests for speed stabilization and position control with and without disturbances.

Keywords

MATLAB Simulink DOF AUV Fully-actuated Dynamic model Kinematic model PID Stabilization Position control Stability 

References

  1. 1.
    Williams, D.P.: On optimal auv track-spacing for underwater mine detection. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 4755–4762. IEEE (2010)Google Scholar
  2. 2.
    Gafurov, S.A., Klochkov, E.V.: Autonomous unmanned underwater vehicles development tendencies. Proc. Eng. 106, 141–148 (2015)CrossRefGoogle Scholar
  3. 3.
    Xiang, X., Lapierre, L., Jouvencel, B.: Smooth transition of auv motion control: from fully-actuated to under-actuated configuration. Robot. Auton. Syst. 67, 14–22 (2015)CrossRefGoogle Scholar
  4. 4.
    Inoue, T., Shiosawa, T., Takagi, K.: Dynamic motion of crawlertype rov. In: Underwater Technology (UT), 2011: IEEE Symposium on and 2011 Workshop on Scientific Use of Submarine Cables and Related Technologies (SSC), pp. 1–6. IEEE (2011)Google Scholar
  5. 5.
    Yoshida, H., Hyakudome, T., Ishibashi, S., Ochi, H., Watanabe, Y., Sawa, T., Nakano, Y., Ohmika, S., Sugesawa, M., Nakatani, T.: Development of the cruising-auv jinbei. In: OCEANS, 2012-Yeosu, pp. 1–4. IEEE (2012)Google Scholar
  6. 6.
    Li, J., Lee, M., Kim, J., Park, S., Park, S., Suh, J.: Guidance and control of p-suro ii hybrid auv. In: OCEANS, 2012-Yeosu, pp. 1–7. IEEE (2012)Google Scholar
  7. 7.
    Żak, A.: Fuzzy controller for underwater remotely operated vehicle which is moving in conditions of environment disturbance occurrence. J. KONES 18, 499–507 (2011)Google Scholar
  8. 8.
    Fossen, T.I.: Marine control systems: guidance, navigation, and control of ships, rigs and underwater vehicles, marine cybernetics, Trondheim, Norway (2002)Google Scholar
  9. 9.
    Rezazadegan, F., Shojaei, K., Sheikholeslam, F., Chatraei, A.: A novel approach to 6-dof adaptive trajectory tracking control of an auv in the presence of parameter uncertainties. Ocean Eng. 107, 246–258 (2015)CrossRefGoogle Scholar
  10. 10.
    Agudelo, J.G., Castro, S.G., Arnau, C.B., Galarza, C.: Fuzzy controller for the yaw and velocity control of the guanay ii auv (2015)Google Scholar
  11. 11.
    Shi, X., Chen, J., Yan, Z., Li, T.: Design of auv height control based on adaptive neuro-fuzzy inference system. In: 2010 IEEE International Conference on Information and Automation (ICIA), pp. 1646–1651. IEEE (2010)Google Scholar
  12. 12.
    Lakhwani, D., Adhyaru, D.M., et al.: Performance comparison of pd, pi and lqr controller of autonomous under water vehicle. In: 2013 Nirma University International Conference on Engineering (NUiCONE), pp. 1–6. IEEE (2013)Google Scholar
  13. 13.
    Upadhyay, V., Gupta, S., Dubey, A., Rao, M., Siddhartha, P., Gupta, V., George, S., Bobba, R., Sirikonda, R., Maloo, A., et al.: Design and motion control of autonomous underwater vehicle, amogh. In: 2015 IEEE Underwater Technology (UT), pp. 1–9. IEEE (2015)Google Scholar
  14. 14.
    Srensen, A.J., Smogeli, N.: Torque and power control of electrically driven marine propellers. Control Eng. Pract. 17(9), 1053–1064 (2009)CrossRefGoogle Scholar
  15. 15.
    SNAM, E.: Nomenclature for treating the motion of a submerged body through a fluid jr, pp. 1–5. Technical and Research Bulletin, New York (1952)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Mohanad M. Hammad
    • 1
    Email author
  • Ahmed K. Elshenawy
    • 1
  • M. I. El Singaby
    • 1
  1. 1.Electrical and Control EngineeringArab Academy for Science, Technology and Maritime TransportAlexandriaEgypt

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