Application of neuro-fuzzy algorithm to portable dynamic positioning control system for ships

Ming Chung Fang, Zi Yi Lee

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

This paper describes the nonlinear dynamic motion behavior of a ship equipped with a portable dynamic positioning (DP) control system, under external forces. The waves, current, wind, and drifting forces were considered in the calculations. A self-tuning controller based on a neuro-fuzzy algorithm was used to control the rotation speed of the outboard thrusters for the optimal adjustment of the ship position and heading and for path tracking. Time-domain simulations for ship motion with six degrees of freedom with the DP system were performed using the fourth-order RungeeKutta method. The results showed that the path and heading deviations were within acceptable ranges for the control method used. The portable DP system is a practical alternative for ships lacking professional DP facilities.

Original languageEnglish
Pages (from-to)38-52
Number of pages15
JournalInternational Journal of Naval Architecture and Ocean Engineering
Volume8
Issue number1
DOIs
Publication statusPublished - 2016 Jan

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Ocean Engineering

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