Generating fuzzy autopilot for ship maneuvering | Zendy

Juan Contreras | Zendy; Fernando J. Durán Martínez | Zendy; Alejandro Castro Celis | Zendy

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Generating fuzzy autopilot for ship maneuvering

Author(s) -

Juan Contreras,

Fernando J. Durán Martínez,

Alejandro Castro Celis

Publication year - 2011

Publication title -

ciencia y tecnología de buques

Language(s) - English

Resource type - Journals

eISSN - 2619-645X

pISSN - 1909-8642

DOI - 10.25043/19098642.55

Subject(s) - autopilot , antecedent (behavioral psychology) , fuzzy logic , controller (irrigation) , control theory (sociology) , control (management) , control engineering , computer science , course (navigation) , fuzzy control system , engineering , artificial intelligence , psychology , developmental psychology , agronomy , biology , aerospace engineering

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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