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Finite Time Output Feedback Control for Ship Dynamic Positioning Assisted Mooring Positioning System with Disturbances

  • Guoqing Xia
  • Caiyun Liu
  • Bo Zhao
  • Xinghua ChenEmail author
  • Xingchao Shao
Article
  • 17 Downloads

Abstract

This paper investigates finite-time output feedback control for ship dynamic positioning assisted mooring system with external disturbances and without velocity measurement. Firstly, a finite-time observer is designed to estimate the velocity of the positioning ship and the external disturbances. Secondly, based on the proposed observer, a finite-time control law is introduced to bring the ship to the desired position and heading. Furthermore, the stability of the overall closed-loop system is proved by using matrix inequality, homogeneous and Lyapunov stability theory. Finally, the effectiveness of the proposed positioning control is verified by numerical simulations.

Keywords

Dynamic positioning assisted mooring positioning system effectiveness finite-time observer output feedback controller positioning control 

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References

  1. [1]
    J. P. Strand, A. J. Sørensen, and T. I. Fossen, “Modelling and control of thruster assisted position mooring systems for ships,” IFAC Proceedings Volumes, vol. 30, no. 22, pp. 187–192, 1997.CrossRefGoogle Scholar
  2. [2]
    O. M. Aamo and T. I. Fossen, “Controlling line tension in thruster assisted mooring systems,” Proc. of IEEE International Conference on Control Applications, vol. 2, pp.1104–1109, 1999.Google Scholar
  3. [3]
    T. N. Dong and A. J. Sorensen, “Setpoint chasing for thruster-assisted position mooring,” IEEE Journal of Oceanic Engineering, vol. 34, no. 4, pp. 548–558, 2007.Google Scholar
  4. [4]
    L. Wang, J. Yang, and H. He, “Numerical and experimental study on the influence of the set point on the operation of thruster-assisted position mooring system,” International Journal of Offshore & Polar Engineering, vol. 26, no. 4, pp. 423–432, 2016.CrossRefGoogle Scholar
  5. [5]
    D. T. Nguyen and A. J. Sorensen, “Switching control for thruster-assisted position mooring,” Control Engineering Practice, vol. 17, no. 9, pp. 985–994, 2009.CrossRefGoogle Scholar
  6. [6]
    Z. Ren, R. Skjetne, and V. Hassani, “Supervisory control of line breakage for thruster-assisted position mooring system,” IFAC Papersonline, vol. 48, no. 16, pp. 235–240, 2015.CrossRefGoogle Scholar
  7. [7]
    P. I. B. Berntsen, B. J. Leira, and O. M. Aamo, “Structural reliability criteria for control of large-scale interconnected marine structures,” Proc. of ASME 23rd International Conference on Offshore Mechanics and Arctic Engineering, pp. 297–306, 2004.Google Scholar
  8. [8]
    P. I. B. Berntsen, O. M. Aamo, and B. J. Leira, “Ensuring mooring line integrity by dynamic positioning: controller design and experimental tests,” Automatica, vol. 45, no. 5, pp. 1285–1290, 2009.MathSciNetCrossRefGoogle Scholar
  9. [9]
    M. Chen, S. S. Ge, and B. V. E. How, “Robust adaptive position mooring control for marine vessels,” IEEE Transactions on Control Systems Technology, vol. 21, no. 3, pp. 395–409, 2013.CrossRefGoogle Scholar
  10. [10]
    W. He, S. Zhang, and S. S. Ge, “Robust adaptive control of a thruster assisted position mooring system,” Automatica, vol. 50, no. 7, pp. 1843–1851, 2014.MathSciNetCrossRefGoogle Scholar
  11. [11]
    Y. H. Wang, Y. L. Tuo, and S. X. Yang, “Reliability-based robust dynamic positioning for a turret-moored floating production storage and offloading vessel with unknown time-varying disturbances and input saturation,” ISA Transactions, vol.78, pp. 66–79, 2013.Google Scholar
  12. [12]
    F. Dukan, M. Ludvigsen, and A. J. Sorensen, “Dynamic positioning system for a small size ROV with experimental results,” Oceans, IEEE, pp. 1–10, 2011.Google Scholar
  13. [13]
    T. I. Fossen and J. P. Strand, “Passive nonlinear observer design for ships using lyapunov methods: full-scale experiments with a supply vessel,” Automatica, vol. 35, no. 1, pp. 3–16, 1999.MathSciNetCrossRefGoogle Scholar
  14. [14]
    W. B. Xie, “Adaptive sliding-mode passive observer design for dynamic positioning vessel,” Control Theory and Applications, vol. 30, no. 1, pp. 131–136, 2013.Google Scholar
  15. [15]
    W. E. Ngongi, and J. L. Du, “A high-gain observer-based Pd controller design for dynamic positioning of ships,” Applied Mechanics & Materials, vol. 490, no. 491, pp. 803–808, 2014.CrossRefGoogle Scholar
  16. [16]
    X. Lin, J. Nie, and Y. Jiao, “Nonlinear adaptive fuzzy output-feedback controller design for dynamic positioning system of ships,” Ocean Engineering, vol. 158, pp. 186–195, 2018.CrossRefGoogle Scholar
  17. [17]
    J. Du, X. Hu, and Y. Sun, “Robust dynamic positioning of ships with disturbances under input saturation,” Automatica, vol. 73, pp. 207–214, 2016.MathSciNetCrossRefGoogle Scholar
  18. [18]
    F. Amato, R. Ambrosino, and M. Ariola, “Finite-time stability of linear time-varying systems with jumps,” Automatica, vol. 45, no. 5, pp. 1354–1358, 2009.MathSciNetCrossRefGoogle Scholar
  19. [19]
    C. Yang, Y Jiang, and W. He, “Adaptive parameter estimation and control design for robot manipulators with finitetime convergence,” IEEE Transactions on Industrial Electronics, vol. 65, no. 10, pp. 8112–8123, 2018.CrossRefGoogle Scholar
  20. [20]
    C. G. Chen, Y M. Jiang, and N. Jing, “Finite-time convergence adaptive fuzzy control for dual-arm robot with unknown kinematics and dynamics,” IEEE Transactions on Fuzzy Systems, vol. 27, no. 3, pp. 574–588, 2018.Google Scholar
  21. [21]
    C. Yang, T. Teng, and B. Xu, “Global adaptive tracking control of robot manipulators using neural networks with finite-time learning convergence,” International Journal of Control Automation & Systems, vol. 15, no. 11, pp. 1–9, 2017.CrossRefGoogle Scholar
  22. [22]
    Z. Wu, L. Yang, and B. Jiang, “Finite-time H°o control of stochastic singular systems with partly known transition rates via an optimization algorithm,” International Journal of Control, Automation and Systems, vol. 17, no. 6, pp. 1462–1472, 2019.CrossRefGoogle Scholar
  23. [23]
    T. Li, R. Zhao, and C. Chen, “Finite-time formation control of under-actuated ships using nonlinear sliding mode control,” IEEE Transactions on Cybernetics, vol. 48, no. 11, pp. 3243–3253, 2018.CrossRefGoogle Scholar
  24. [24]
    G. Q. Xia, C. Sun, and B. Zhao, “Cooperative control of multiple dynamic positioning vessels with input saturation based on finite-time disturbance observer,” International Journal of Control, Automation and Systems, vol. 17, no. 2, pp. 370–379, 2019.CrossRefGoogle Scholar
  25. [25]
    X. Lin, K. Liang, H. Li, Y Jiao, and J. Nie, “Robust finite-time H-inflnity control with transients for dynamic positioning ship subject to input delay,” Mathematical Problems in Engineering, vol. 2018, Article ID 2838749, pp.1–17, 2018.Google Scholar
  26. [26]
    A M. Zou, A. H. J. Ruiter, and K. D. Kumar, “Distributed finite-time velocity-free attitude coordination control for spacecraft formations,” Automatica, vol. 67, pp. 46–53, 2016.MathSciNetCrossRefGoogle Scholar
  27. [27]
    Y Shen and X. Xia, “Semi-global finite-time observers for nonlinear systems,” Automatica, vol. 44, no. 12, pp. 3152–3156, 2008.MathSciNetCrossRefGoogle Scholar
  28. [28]
    S. P. Bhat and D. S. Bernstein, “Geometric homogeneity with applications to finite-time stability,” Mathematics of Control Signals & Systems, vol. 17, no. 2, pp. 101–127, June 2005.MathSciNetCrossRefGoogle Scholar
  29. [29]
    C. Qia and W. Lin, “A continuous feedback approach to global strong stabilization of nonlinear systems,” IEEE Transactions on Automatic Control, vol. 46, no. 7, pp. 1061–1079, 2001.MathSciNetCrossRefGoogle Scholar
  30. [30]
    G. Hardy, J. Littlewood, and G. Polya, Inequalities, Cambridge Univ. Press, Cambridge, U.K., 1952.zbMATHGoogle Scholar
  31. [31]
    T. M. Smith, M. C. Chen, and A. M. Radwan, “Systematic data for the preliminary design of mooring systems,” Proceedings of the fourth International Offshore Mechanics and Arctic Engineering Symposium, pp. 403–407, 1985.Google Scholar
  32. [32]
    X. J. Chen, X. F. Tang, Q. Shen, and Z. Sun, “Theoretical analysis of mooring chain disposition for a float-body,” Journal of Hohai University, vol. 29, no. 5, pp. 84–87, 2001.Google Scholar
  33. [33]
    Y J. Wang, L. Wang, and Z. Y Jiang, “Research on the impact of mooring line arrangement for a mooring assisted dynamic positioning sysytem of a semi-submersible platform,” Research and Exploration in Laboratory, vol. 33, no. 5, pp. 5–8, 2014.Google Scholar
  34. [34]
    Y. Shen and Y. Huang, “Uniformly observable and globally Lipschitzian nonlinear systems admit global finite-time observers,” IEEE Transactions on Automatic Control, vol. 54, no. 11, pp. 2621–2625, 2009.MathSciNetCrossRefGoogle Scholar
  35. [35]
    M. Y. Fu and A. H. Zhang, “Semi-global uniform exponential stable observer-controller for trajectory tracking of ships,” Control and Decision, vol. 28, no. 6, pp. 920–924, 2013.Google Scholar

Copyright information

© ICROS, KIEE and Springer 2019

Authors and Affiliations

  1. 1.The College of AutomationHarbin Engineering UniversityHarbinChina

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