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Auto Position Control for Unmanned Underwater Vehicle Based on Double Sliding Mode Loops

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Intelligent Computing Theories and Application (ICIC 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10954))

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Abstract

To deal with the large speed jump and position overshoot when desired position changes suddenly for UUV in the horizontal plane, an auto position controller based on double sliding mode loops is proposed. In comparison with the conventional control approach, the virtual speed is adopted in the proposed controller designing. Double loops are contained in the designed controller, and sliding mode surface is both contained in the outer loop and inner loop. The outer loop generates the virtual speed of UUV to avoid the large speed jump, while the inner loop realizes the speed tracking and eliminate the error between virtual speed and real speed. To estimate the uncertainty of the UUV’s motion model and the environment disturbance, an adaptive law is adopted. The stability of the proposed control method is proven based on Lyapunov stability theory, and the effectiveness of the proposed controller is demonstrated through simulation.

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References

  1. Shusheng, X., Xiaogong, L.: A closed loop hierarchical multi-sensor fusion algorithm for vessel dynamic positioning. Acta Electronica Sinica 42(5), 512–516 (2014)

    Google Scholar 

  2. Fang, W., Ming, L., Feng, X.: Design and implementation of a triple-redundant dynamic positioning control system for deepwater drilling rigs. Appl. Ocean Res. 57, 140–151 (2016)

    Article  Google Scholar 

  3. Karthick, S., Kumar, K.S., Mohan, S.: Relative analysis of controller effectiveness for vertical plane control of an autonomous underwater vehicle. In: OCEANS 2016, No. 7485569 (2016)

    Google Scholar 

  4. Mohan, S., Singh, Y.: Task space position tracking control of an autonomous underwater vehicle with four tilting thrusters. In: OCEANS 2016, No. 7485382 (2016)

    Google Scholar 

  5. Hoang, N.Q., Kreuzer, E.: Adaptive PD-controller for positioning of a remotely operated vehicle close to an underwater structure: theory and experiments. Control Eng. Pract. 15(4), 411–419 (2007)

    Article  Google Scholar 

  6. Jeen-Shing, W., Lee, C.S.G.: Self-adaptive recurrent neuro-fuzzy control of an autonomous underwater vehicle. IEEE Trans. Robot. Autom. 19(2), 283–295 (2003, 2006)

    Google Scholar 

  7. Liaw, H.C., Shirinzadeh, B.: Neural network motion tracking control of piezo-actuated flexure-based mechanisms for micro-/nanomanipulation. IEEE/ASME Trans. Mechatron. 14(5), 517–527 (2009)

    Article  Google Scholar 

  8. Healey, A.J., Lienard, D.: Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles. IEEE J. Oceanic Eng. 18(3), 327–339 (1993)

    Article  Google Scholar 

  9. Antonelli, G., Chiaverini, S., Fusco, G.: A fuzzy-logic-based approach for mobile robot path tracking. IEEE Trans. Fuzzy Syst. 15(2), 211–221 (2007)

    Article  Google Scholar 

  10. Van de Ven Pepijn, W.J., Flanagan, C., Toal, D.: Neural network control of underwater vehicles. Eng. Appl. Artif. Intell. 18(5), 533–547 (2005)

    Article  Google Scholar 

  11. Soylu, S., Buckham, B.J., Podhorodeski, R.P.: A chattering-free sliding-mode controller for underwater vehicles with fault-tolerant infinity-norm thrust allocation. Ocean Eng. 35(16), 1647–1659 (2008)

    Article  Google Scholar 

  12. Sun, B., Zhu, D.: A chattering-free sliding-mode control design and simulation of remotely operated vehicles. In: IEEE Control and Decision Conference, pp. 4173–4178 (2011). Chinese

    Google Scholar 

  13. Zhu, D., Sun, B.: The bio-inspired model based hybrid sliding-mode tracking control for unmanned underwater vehicles. Eng. Appl. Artif. Intell. 26(10), 2260–2269 (2013)

    Article  Google Scholar 

  14. Xu, J., Wang, M., Qiao, L.: Dynamical sliding mode control for the trajectory tracking of underactuated unmanned underwater vehicles. Ocean Eng. 105, 54–63 (2015)

    Article  Google Scholar 

  15. Fossen, T.I., Strand, J.P.: Passive nonlinear observer design for ships using Lyapunov methods: full-scale experiments with a supply vessel. Automatica 35(1), 3–16 (1999)

    Article  MathSciNet  Google Scholar 

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Acknowledgement

This work is supported by Science and Technology Research Project of Hubei Provincial Department of Education under Grant No. B2016433.

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Correspondence to Wei Jiang .

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Jiang, W., Xu, J., Kang, XF., Wang, Ll. (2018). Auto Position Control for Unmanned Underwater Vehicle Based on Double Sliding Mode Loops. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10954. Springer, Cham. https://doi.org/10.1007/978-3-319-95930-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-95930-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95929-0

  • Online ISBN: 978-3-319-95930-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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