Fuzzy Predictive Model of the Vertical Acceleration of a High Speed Vessel in Pitch Motion

Authors

  • Francisco Gil Navia
  • Juan Contreras Montes

DOI:

https://doi.org/10.25043/19098642.25

Keywords:

fuzzy identification, vessel pitching, fuzzy predictive model, recursive least squares

Abstract

An adaptable fuzzy inference technique is being described in order to generate predictive models of the acceleration of the pitching of a high speed vessel, from the data obtained from the web on an experiment conducted by the University of Iowa. The geometry of interest in the experiment is a scale model of the type 1/46.6 of the DTMB model 5415 (DDG-51). The fuzzy algorithm for the generation of the predictive model uses a triangular partition with a 0.5 overlapping and consequents of the Singleton type. The consequents are adjusted in an automatic fashion by using recursive least squares. The algorithm shows a very low computational complexity rate which allows for it to be used for on line identification.

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Published

2010-01-30

How to Cite

Gil Navia, F., & Contreras Montes, J. (2010). Fuzzy Predictive Model of the Vertical Acceleration of a High Speed Vessel in Pitch Motion. Ciencia Y tecnología De Buques, 3(6), 67–74. https://doi.org/10.25043/19098642.25

Issue

Vol. 3 No. 6

Section

Scientific and Technological Research Articles

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