scholarly journals Iterative feedback tuning of wind turbine controllers

2016 ◽  
Author(s):  
Edwin van Solingen ◽  
Jan-Willem van Wingerden

Abstract. Traditionally, wind turbine controllers are designed using first-principles, linearized, or identified models. The aim of this paper is to show that with an automated and model-free tuning strategy, wind turbine control performance can be significantly increased. To this purpose, Iterative Feedback Tuning (IFT) is applied to two different turbine controllers: drivetrain damping and collective pitch control. The results, obtained by high-fidelity simulations using the NREL 5MW wind turbine, indicate significant performance improvements over baseline controllers which were designed using classical loop shaping techniques. It is concluded that iterative feedback tuning of turbine controllers can potentially become a valuable tool to improve wind turbine performance.

2017 ◽  
Vol 2 (1) ◽  
pp. 153-173 ◽  
Author(s):  
Edwin van Solingen ◽  
Sebastiaan Paul Mulders ◽  
Jan-Willem van Wingerden

Abstract. Traditionally, wind turbine controllers are designed using first principles or linearized or identified models. The aim of this paper is to show that with an automated, online, and model-free tuning strategy, wind turbine control performance can be significantly increased. For this purpose, iterative feedback tuning (IFT) is applied to two different turbine controllers: drivetrain damping and collective pitch control. The results, obtained by high-fidelity simulations using the NREL 5MW wind turbine, indicate significant performance improvements over baseline controllers, which were designed using classical loop-shaping techniques. It is concluded that iterative feedback tuning of turbine controllers has the potential to become a valuable tool to improve wind turbine performance.


Author(s):  
Laura H. Wheeler ◽  
Mario Garcia-Sanz

Individual pitch control is an innovative technique in wind turbine control. It has the potential of reducing the asymmetric mechanical loads on the blades in large multi-megawatt turbines. As the mechanical fatigue is reduced, the lifetime of the turbine can be significantly extended. This work develops an individual pitch control for the National Renewable Energy Laboratory’s (NREL) 5 MW reference wind turbine. The individual pitch controller works along with a collective pitch controller, designed using Quantitative Feedback Theory (QFT) robust control. Simulations of the complete individual and collective pitch control system are conducted with the NREL’s computer-aided engineering tool for horizontal axis wind turbines (FAST). They show that the addition of the individual pitch controller significantly reduces the loads on the tilt and yaw directions in the nacelle and tower of the turbine at 1P and 3P frequencies, and on the blades at the 2P harmonic frequency.


2013 ◽  
Vol 433-435 ◽  
pp. 1293-1297
Author(s):  
Xing Jia Yao ◽  
Jiang Sheng Zhu ◽  
Kui Chao Ma ◽  
Qing Ding Guo

Dynamic load is a key consideration in large scale wind turbine design. It is approved that the performance of controller can distinguish impact wind turbine loads. For strong external disturbances and inaccurately modeled of large wind turbines, In this paper, we propose model-free adaptive (Model Free Adapt, MFA) individual pitch control algorithms. The controller was developed in to mitigate the rotor unbalance structural load for variable speed wind turbine. The controller is designed from a nonlinear model of the system which takes into account the blades, shaft and tower flexibilities. Bladed software was used for the control strategy and traditional PID control strategy simulation comparison. The results show that the new control strategy can effectively stabilize wind turbine power output and reduce aerodynamic loads.


Author(s):  
Ahmed A. Lasheen ◽  
◽  
Mahmoud M. Elnaggar

This paper focuses on variable speed variable pitch wind- turbine control when operating in region 3. Designing a pitch controller is important while operating in region 3 to regulate the rated generator power and to reduce the flap-wise moment on the turbine blades. The regulation of the generator power and speed is achievable by using the collective pitch control (CPC); while reduction of the flap-wise moment is the objective of individual pitch control (IPC). The main challenge of designing this pitch controller is the pitch-angle constraints. Model predictive control (MPC) using Laguerre network is designed to produce the optimal individual pitch control action that satisfies the system constraints. A typical 5-MW benchmark wind turbine simulator is used to test the performance of the proposed controller. Comparisons between the proposed controller and the standard PI controller, which has been employed generously for wind-turbine control in industry, are performed. The results show the superiority of the proposed pitch controller over the standard controller.


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