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Proceedings Paper

Design and implementation of a fuzzy logic yaw controller
Author(s): Kung Chris Wu; Andrew H. Swift; W. Lionel Craver; Yi-Chieh Chang
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Paper Abstract

This paper describes a fuzzy logic controller (FLC) designed and implemented to control the yaw angle of a 10 kW fixed speed teetered-rotor wind turbine presently being commissioned at the University of Texas at El Paso. The technical challenge of this project is that the wind turbine represents a highly stochastic nonlinear system. The problems associated with the wind turbine yaw control are of a similar nature as those experienced with position control of high inertia equipment like tracking antenna, gun turrets, and overhead cranes. Furthermore, the wind turbine yaw controller must be extremely cost-effective and highly reliable in order to be economically viable compared to the fossil fueled power generators.

Paper Details

Date Published: 20 August 1993
PDF: 7 pages
Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); doi: 10.1117/12.150174
Show Author Affiliations
Kung Chris Wu, Univ. of Texas/El Paso (United States)
Andrew H. Swift, Univ. of Texas/El Paso (United States)
W. Lionel Craver, Univ. of Texas/El Paso (United States)
Yi-Chieh Chang, Univ. of Texas/El Paso (United States)

Published in SPIE Proceedings Vol. 2055:
Intelligent Robots and Computer Vision XII: Algorithms and Techniques
David P. Casasent, Editor(s)

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