Adaptive Fuzzy Autopilot for a Scale Ship Model

Abstract:

This paper discusses the implementation of an adaptive fuzzy autopilot for a scale ship model using a Fuzzy Model Reference Learning Controller (FMRLC). Initially, a fuzzy singleton model of the scale ship model is obtained from experimental input and output data gathered from the turning circle manoeuvre. After that, the paper describes how to design a Fuzzy Model Reference Learning Controller (FMRLC) for controlling the directional heading of the scale ship model. At the end, results of the implementation of the adaptive ship autopilot are showed.

• Periodical: Applied Mechanics and Materials (Volume 798)
• Pages: 249-255
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.798.249
• Online since: October 2015
• Authors: Alcides Ramos, Juan Contreras*
• Keywords: Adaptive Fuzzy Control, Fuzzy Model Reference Learning Controller, Fuzzy Ship Autopilot, Fuzzy Singleton Identification

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