Design and implementation of a fuzzy logic yaw controller

Kung Chris Wu, Andrew H.P. Swift, W. Lionel Craver, Yi Chieh Chang

Research output: Contribution to journalConference article

1 Scopus citations


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 economical viable comparing to the fossil fueled power generators.

Original languageEnglish
Pages (from-to)606-612
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Aug 20 1993
EventIntelligent Robots and Computer Vision XII: Algorithms and Techniques 1993 - Boston, United States
Duration: Sep 7 1993Sep 10 1993

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