Wind turbines commonly operate in an uncertain and noisy environment. Disturbance accommodating controller (DAC) has shown promising results in dealing with changing wind speed to regulate generator speed at its rated speed in above rated wind speed condition. However, it has been reported that the number of considered system modes (or degrees of freedom) in design of DAC affects the system performance. Simulation using high order model, higher than that is considered in the control design, showed unstable response due to effect from the unmodeled structural dynamics. In this study, DAC with Kalman estimator is designed for variable pitch wind turbines to take into account the unmodeled dynamics and noise measurement. The control performance is simulated using high order FAST model that has active generator, drive-train, blade, and tower dynamics in Simulink environment. Simulation results show that DAC with Kalman estimator gives best performance in terms of speed regulation and control cost, compared to two other linear controllers: Gain Scheduled Proportional Integral (GSPI) controller and DAC with linear estimator.
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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
Performance of Linear Control Methods for Wind Turbines Dealing With Unmodeled Structural Modes
Irving Paul Girsang,
Irving Paul Girsang
Nanyang Technological University, Singapore, Singapore
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Jaspreet Singh Dhupia
Jaspreet Singh Dhupia
Nanyang Technological University, Singapore, Singapore
Search for other works by this author on:
Irving Paul Girsang
Nanyang Technological University, Singapore, Singapore
Jaspreet Singh Dhupia
Nanyang Technological University, Singapore, Singapore
Paper No:
DSCC2012-MOVIC2012-8653, pp. 645-652; 8 pages
Published Online:
September 17, 2013
Citation
Girsang, IP, & Dhupia, JS. "Performance of Linear Control Methods for Wind Turbines Dealing With Unmodeled Structural Modes." 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. 645-652. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8653
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