Design and implementation of a fuzzy logic yaw controller

Kung Chris Wu; Andrew H. Swift; W. Lionel Craver Jr.; Yi-Chieh Chang

doi:10.1117/12.150174

20 August 1993 Design and implementation of a fuzzy logic yaw controller

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

Proceedings Volume 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques; (1993) https://doi.org/10.1117/12.150174
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

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.

Citation Download Citation

Kung Chris Wu, Andrew H. Swift, W. Lionel Craver Jr., and Yi-Chieh Chang "Design and implementation of a fuzzy logic yaw controller", Proc. SPIE 2055, Intelligent Robots and Computer Vision XII: Algorithms and Techniques, (20 August 1993); https://doi.org/10.1117/12.150174

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