This paper presents a strategy for operating and simulating a full scale wind turbine test bench in order to emulate the field conditions experienced by the mechanical portion of a nacelle’s drivetrain. The presented strategy makes use of a real-time simulation of a wind turbine model to provide reference signals for the test bench. These reference signals include the thrust force, lateral force, vertical force, pitch moment, yaw moment, and drivetrain speed at the nacelle’s control point or hub point: a point along a nacelle’s drivetrain representing what would be the center of the nacelle hub. The effectiveness of this approach is studied with the help of a multibody, dynamic model of the 7.5 MW test bench located at Clemson University’s Wind Turbine Drivetrain Testing Facility. Simulation results show that the proposed control strategy is feasible for emulating field conditions on a wind turbine test bench.
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ASME 2015 Dynamic Systems and Control Conference
October 28–30, 2015
Columbus, Ohio, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5725-0
PROCEEDINGS PAPER
A Hardware-in-the-Loop Strategy for Control of a Wind Turbine Test Bench Available to Purchase
Ryan Schkoda,
Ryan Schkoda
Clemson University Restoration Institute, North Charleston, SC
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Amin Bibo
Amin Bibo
Clemson University Restoration Institute, North Charleston, SC
Search for other works by this author on:
Ryan Schkoda
Clemson University Restoration Institute, North Charleston, SC
Amin Bibo
Clemson University Restoration Institute, North Charleston, SC
Paper No:
DSCC2015-9930, V002T21A003; 9 pages
Published Online:
January 12, 2016
Citation
Schkoda, R, & Bibo, A. "A Hardware-in-the-Loop Strategy for Control of a Wind Turbine Test Bench." Proceedings of the ASME 2015 Dynamic Systems and Control Conference. Volume 2: Diagnostics and Detection; Drilling; Dynamics and Control of Wind Energy Systems; Energy Harvesting; Estimation and Identification; Flexible and Smart Structure Control; Fuels Cells/Energy Storage; Human Robot Interaction; HVAC Building Energy Management; Industrial Applications; Intelligent Transportation Systems; Manufacturing; Mechatronics; Modelling and Validation; Motion and Vibration Control Applications. Columbus, Ohio, USA. October 28–30, 2015. V002T21A003. ASME. https://doi.org/10.1115/DSCC2015-9930
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