Generating fuzzy autopilot for ship maneuvering

Authors

  • Juan A. Contreras Montes Escuela Naval Almirante Padilla - Facultad de Ingeniería Naval. Cartagena, Bolívar. Colombia.
  • Fernando J. Durán Martínez Escuela Naval Almirante Padilla - Facultad de Ingeniería Naval. Cartagena, Bolívar. Colombia.
  • Alejandro Castro Celis

DOI:

https://doi.org/10.25043/19098642.55

Keywords:

ship maneuvering, heading control, fuzzy identification, intelligent control

Abstract

This paper introduces a method to generate autopilots for ship headings by using issues from the observation of control actions performed by human operators. The controller is designed based on fuzzy logic and uses triangular membership functions for the antecedent and consequent functions for Singleton type. For an automatic adjustment of the consequential, the recursive least squares method was used. This method is used to generate and validate the course driver of a 350-m tanker, at different load conditions.

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References

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Published

2011-07-23

How to Cite

Contreras Montes, J. A., Durán Martínez, F. J., & Castro Celis, A. (2011). Generating fuzzy autopilot for ship maneuvering. Ship Science & Technology, 5(9), 107–114. https://doi.org/10.25043/19098642.55

Issue

Vol. 5 No. 9

Section

Scientific and Technological Research Articles

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