Paper Info
Title
Comparison of linear and nonlinear model predictive control of wind turbines using LIDAR
Abstract
Recent developments in remote sensing are offering a promising opportunity to rethink conventional control strategies of wind turbines. With technologies such as LIDAR, the information about the incoming wind field - the main disturbance to the system - can be made available ahead of time. Feedforward control can be easily combined with traditional collective pitch feedback controllers and has been successfully tested on real systems. Nonlinear model predictive controllers adjusting both collective pitch and generator torque can further reduce structural loads in simulations but have higher computational times compared to feedforward or linear model predictive controller. This paper compares a linear and a commercial nonlinear model predictive controller to a baseline controller. On the one hand simulations show that both controller have significant improvements if used along with the preview of the rotor effective wind speed. On the other hand the nonlinear model predictive controller can achieve better results compared to the linear model close to the rated wind speed.
Year
DOI
Venue
2014
10.1109/ACC.2014.6859205
American Control Conference
Keywords
Field
DocType
controllers,feedforward,optical radar,predictive control,wind turbines,LIDAR,collective pitch,feedforward control,generator torque,nonlinear model predictive control,rotor effective wind speed,wind turbines,Kalman filtering,Optimal control,Power systems
Control theory,Wind speed,Torque,Linear model,Computer science,Control theory,Model predictive control,Control engineering,Rotor (electric),Wind power,Feed forward
Conference
ISSN
ISBN
Citations 
0743-1619
978-1-4799-3272-6
1
PageRank 
References 
Authors
0.36
2
4
Name
Order
Citations
PageRank
David Schlipf1176.05
Grau, P.210.36
Raach, S.310.36
Duraiski, R.410.36