Investigation into control strategies for manoeuvring in adverse weather conditions

Myo Zin Aung, Naoya Umeda*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Manoeuvring in adverse weather conditions has significant challenges for the shipmaster especially when the ship is equipped with the smaller propulsion power. The automatic control methods for safe manoeuvring in severe weather conditions have not been studied extensively since manual control is applied in these conditions. Moreover, in most numerical simulations, PID control is used due to its simplicity. In this paper, the authors discussed the performance of a conventional PID autopilot under large external forces using the numerical simulation of a Handymax bulk carrier in various weather conditions. Then, a path-following control strategy was applied to eliminate the drifting problem found in the conventional PID autopilot alone. Moreover, Optimal Control (OC) based general-purpose trajectory optimization path-planner was proposed for obtaining obstacle-free optimal paths. Finally, the performance of the resulting path-planner-follower is analyzed under different severe weather conditions. A series of early small and precise continuous rudder commands are found to be used to execute the successful collision avoidance maneuver whereas a human operator may use discrete rudder angles with large steps. The head sea course is found to be the safest one in adverse weather conditions compared to the other oblique courses.

Original languageEnglish
Article number108170
Pages (from-to)1-14
Number of pages14
JournalOcean Engineering
Volume218
Early online date6 Oct 2020
DOIs
Publication statusPublished - 15 Dec 2020

Funding

This work is supported by a Grant-in-Aid for Scientific Research from the Japan Society for Promotion of Science (JSPS KAKENHI Grant Number 19H02360 ).

Keywords

  • adverse weather
  • LOS guidance
  • optimal control
  • path planning
  • path-following
  • PID autopilot

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