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Adaptive Control of Thruster-Assisted Single-Point Mooring Systems

  • Wei He
  • Shuzhi Sam Ge
  • Bernard Voon Ee How
  • Yoo Sang Choo
Part of the Advances in Industrial Control book series (AIC)

Abstract

Chapter 6 is dedicated to the control problem of a thruster-assisted single-point mooring system in the presence of uncertainties and unknown backlash-like hysteresis nonlinearities. Using the backstepping technique and Lyapunov synthesis and employing neural networks (NNs) to approximate the unknown nonlinear functions, robust adaptive backstepping control is developed for the full-state feedback case. Subsequently, in order to overcome the measure difficulty in the vessel velocity vector, a high-order NN-based observer is constructed to estimate the unmeasurable state vector. It is shown that the proposed observer has an excellent estimation performance in spite of the existence of uncertainties and unknown backlash-like hysteresis nonlinearities. Based on this observer, robust adaptive output feedback control is developed via backstepping design. Under the proposed control, the semiglobal uniform boundedness of all the signals in the closed-loop systems is guaranteed for both full-state and output feedback cases.

Keywords

Mooring Line Output Feedback Control Mooring System Lyapunov Function Candidate Mooring Line Tension 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Wei He
    • 1
  • Shuzhi Sam Ge
    • 2
  • Bernard Voon Ee How
    • 3
  • Yoo Sang Choo
    • 4
  1. 1.School of Automation EngineeringUniversity of Electronic Science and Technology of China (UESTC)ChengduChina
  2. 2.Dept of Electr. & Computer EngineeringThe National University of SingaporeSingaporeSingapore
  3. 3.Centre for Offshore Research & Engin.National University of SingaporeSingaporeSingapore
  4. 4.Dept of Civil & Environmental Engin.National University of SingaporeSingaporeSingapore

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