International Journal of Control, Automation and Systems 2022; 20(5): 1561-1568
Published online April 21, 2022
https://doi.org/10.1007/s12555-019-1040-2
© The International Journal of Control, Automation, and Systems
This research considers a new gain-scheduled output feedback (GSOF) control method in order to control wind turbine embedded with hydrostatic transmission. First of all, the linear parameter varying (LPV) representation of nonlinear system is attained. Then the GSOF control structure based on induced L2-gain performance minimization is designed. The control method is particularly suited to cope with wind speed measurement uncertainty. Also another advantage of the presented control method lies in controlling wind turbine in the whole operating region without performance reduction. The control method is validated through simulation on 5 MW wind turbine benchmark and also is compared with gain scheduled quadratic regulator control method. Simulation results indicate the effectiveness of the presented algorithm in improving the overall performance of the wind turbine in whole wind speed region in existence of the wind speed uncertainty. "
Keywords Gain schduled output feedback, hydrostatic transmission, L2-gain performance, linear parameter varying, wind speed, wind turbine.
International Journal of Control, Automation and Systems 2022; 20(5): 1561-1568
Published online May 1, 2022 https://doi.org/10.1007/s12555-019-1040-2
Copyright © The International Journal of Control, Automation, and Systems.
Mohammad Javad Yarmohammadi, Mostafa Taghizadeh*, and Arash Sadeghzadeh
Shahid Beheshti University
This research considers a new gain-scheduled output feedback (GSOF) control method in order to control wind turbine embedded with hydrostatic transmission. First of all, the linear parameter varying (LPV) representation of nonlinear system is attained. Then the GSOF control structure based on induced L2-gain performance minimization is designed. The control method is particularly suited to cope with wind speed measurement uncertainty. Also another advantage of the presented control method lies in controlling wind turbine in the whole operating region without performance reduction. The control method is validated through simulation on 5 MW wind turbine benchmark and also is compared with gain scheduled quadratic regulator control method. Simulation results indicate the effectiveness of the presented algorithm in improving the overall performance of the wind turbine in whole wind speed region in existence of the wind speed uncertainty. "
Keywords: Gain schduled output feedback, hydrostatic transmission, L2-gain performance, linear parameter varying, wind speed, wind turbine.
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