Finite-Time Disturbance Observer-Based Adaptive Course Control for Surface Ships

  • 0School of Automation, Wuhan University of Technology, Wuhan 430070, China.

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Summary

This summary is machine-generated.

A novel adaptive control strategy enhances ship course stability by addressing input saturation and external disturbances. This finite-time disturbance observer ensures robust performance and system resilience.

Area Of Science

  • Marine engineering
  • Control systems theory
  • Robotics

Background

  • Ship course control is challenged by input saturation and external disturbances.
  • Existing methods may not adequately address steering engine vibrations or input inconsistencies.

Purpose Of The Study

  • To develop a finite-time disturbance observer-based adaptive control strategy for ship course control.
  • To mitigate issues arising from input saturation and external disturbances.

Main Methods

  • Designed a smooth saturation model using the Gaussian error function to prevent input saturation and reduce vibrations.
  • Introduced an auxiliary dynamic system to compensate for rudder angle inconsistencies.
  • Developed a finite-time disturbance observer and an adaptive updating law to estimate external disturbances and their derivatives.
  • Proposed a novel adaptive control law using the hyperbolic tangent function.

Main Results

  • The proposed control law demonstrates strong resistance to external disturbances.
  • The system exhibits robustness against parameter perturbations.
  • Stability analysis confirmed closed-loop system stability and boundedness of signals using LaSalle's Invariance Principle.

Conclusions

  • The novel adaptive control strategy significantly improves ship course control performance.
  • The method offers enhanced robustness and stability under challenging operational conditions.

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