An optimum control approach for a wind turbine drivetrain with a variable ratio gearbox is presented. The objective is to find the optimum shifting sequence of the variable ratio gearbox in order to maximize power generation and extend gear life. The employment of a variable ratio gearbox enhances the capabilities of the wind turbine to cope with wind speed variations. Based on our preliminary study, the gear ratios of the variable ratio gearbox were carefully selected to increase the wind energy capture. We then propose a new control approach to extend the gear service life. It finds the gear shifting sequence that will minimize the tangential force on the gear tooth. The wind turbine drivetrain with a variable ratio gearbox is modeled and simulation results for two sets of recorded wind data are presented and compared.
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ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference
October 17–19, 2012
Fort Lauderdale, Florida, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-4531-8
PROCEEDINGS PAPER
Wind Turbine Gearbox Control for Maximum Energy Capture and Prolonged Gear Life
Mohamed L. Shaltout,
Mohamed L. Shaltout
University of Texas at Austin, Austin, TX
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Nanzhu Zhao,
Nanzhu Zhao
University of Texas at Austin, Austin, TX
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John F. Hall,
John F. Hall
University of Texas at Austin, Austin, TX
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Dongmei Chen
Dongmei Chen
University of Texas at Austin, Austin, TX
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Mohamed L. Shaltout
University of Texas at Austin, Austin, TX
Nanzhu Zhao
University of Texas at Austin, Austin, TX
John F. Hall
University of Texas at Austin, Austin, TX
Dongmei Chen
University of Texas at Austin, Austin, TX
Paper No:
DSCC2012-MOVIC2012-8719, pp. 33-39; 7 pages
Published Online:
September 17, 2013
Citation
Shaltout, ML, Zhao, N, Hall, JF, & Chen, D. "Wind Turbine Gearbox Control for Maximum Energy Capture and Prolonged Gear Life." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 3: Renewable Energy Systems; Robotics; Robust Control; Single Track Vehicle Dynamics and Control; Stochastic Models, Control and Algorithms in Robotics; Structure Dynamics and Smart Structures; Surgical Robotics; Tire and Suspension Systems Modeling; Vehicle Dynamics and Control; Vibration and Energy; Vibration Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 33-39. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8719
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