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Integrated path following and collision avoidance control for an underactuated ship based on MFAPC

  • Yu He
  • , Lu Zou*
  • , Zi Xin Wu
  • , Si Yu Liu
  • , Wei Min Chen*
  • , Zao Jian Zou
  • , Cihad Celik
  • *Corresponding author for this work
  • Shanghai Jiao Tong University
  • Ltd.
  • Liverpool John Moores University

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Considering the challenges in integrated path following and collision avoidance control of underactuated ships, a model-free control method coupled with guidance approach is investigated in the present study. The collision risk assessment is performed first to determine whether collision avoidance should be considered during path following. To overcome the underactuated issue, path-following and collision avoidance tasks are transformed into a heading control problem in the guidance system by integrating line-of-sight (LOS) and modified velocity obstacle (VO) algorithms. The modified VO algorithm is characterized by adjusting the VO area, from which the smoothness of ship trajectory during collision avoidance can be enhanced. Additionally, COLREGs are integrated into the modified VO algorithm to ensure effective collision avoidance with encountering ships. To achieve accurate heading control without prior knowledge of the ship maneuvering motion model, a heading controller with the model-free adaptive predictive control (MFAPC) is developed. The heading angle and the yaw rate are synthesized as the defined output to enhance the correspondence between input and output in MFAPC. The effectiveness of the developed controller is verified by computer simulations, where the own ship stably and precisely avoids either static obstacles or encountering ships while following the desired path.

Original languageEnglish
Article number120706
JournalOcean Engineering
Volume324
DOIs
Publication statusPublished - 30 Apr 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Collision avoidance
  • Line-of-sight algorithm
  • Model-free adaptive predictive control
  • Modified velocity obstacle algorithm
  • Path following

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