A Pitch Control System for the KaMeWa Wind Turbine

1985 ◽  
Vol 107 (1) ◽  
pp. 47-52 ◽  
Author(s):  
B. S. Liebst
Keyword(s):  
Energy Source ◽  
Control System ◽  
Wind Turbine ◽  
Optimal Control Theory ◽  
Vibration Reduction ◽  
Pitch Control ◽  
Power Oscillations ◽  
Full State ◽  
Tower Vibration ◽  
Gust Response

This study is the design of a pitching blade control system for the National Swedish Board for Energy Source Development KaMeWa wind turbine. Full state controllers are designed utilizing optimal control theory to reduce blade and tower vibration, power oscillations, and improve gust response. The results show that substantial vibration reduction can be obtained with the existing pitch actuators installed presently on the machine.

scholarly journals Research on variable pitch control strategy of wind turbine for tower vibration reduction

2017 ◽  
Vol 2017 (13) ◽  
pp. 2005-2008 ◽  
Author(s):  
Yanhui Qiao ◽  
Shuang Han ◽  
Ying Deng ◽  
Yongqian Liu ◽  
Jian Dong ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Control Strategy ◽  
Vibration Reduction ◽  
Variable Pitch ◽  
Pitch Control ◽  
Tower Vibration ◽  
Variable Pitch Control

scholarly journals Development of Hardware-in-the-Loop-Simulation Testbed for Pitch Control System Performance Test

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 2031
Author(s):  
Jongmin Cheon ◽  
Jinwook Kim ◽  
Joohoon Lee ◽  
Kichang Lee ◽  
Youngkiu Choi
Keyword(s):  
Control System ◽  
Wind Speed ◽  
Wind Turbine ◽  
Wind Shear ◽  
Performance Test ◽  
Control Function ◽  
Hardware In The Loop ◽  
Rotor Speed ◽  
Test Bed ◽  
Pitch Control

This paper deals with the development of a wind turbine pitch control system and the construction of a Hardware-in-the-Loop-Simulation (HILS) testbed for the performance test of the pitch control system. When the wind speed exceeds the rated wind speed, the wind turbine pitch controller adjusts the blade pitch angles collectively to ensure that the rotor speed maintains the rated rotor speed. The pitch controller with the individual pitch control function can add individual pitch angles into the collective pitch angles to reduce the mechanical load applied to the blade periodically due to wind shear. Large wind turbines often experience mechanical loads caused by wind shear phenomena. To verify the performance of the pitch control system before applying it to an actual wind turbine, the pitch control system is tested on the HILS testbed, which acts like an actual wind turbine system. The testbed for evaluating the developed pitch control system consists of the pitch control system, a real-time unit for simulating the wind and the operations of the wind turbine, an operational computer with a human–machine interface, a load system for simulating the actual wind load applied to each blade, and a real pitch bearing. Through the several tests based on HILS test bed, how well the pitch controller performed the given roles for each area in the entire wind speed area from cut-in to cut-out wind speed can be shown.

Vibration reduction strategy for wind turbine based on individual pitch control and torque damping control

2016 ◽  
Vol 26 (10) ◽  
pp. 2230-2243 ◽  
Author(s):  
Haoming Liu ◽  
Qiaoqiao Tang ◽  
Yongning Chi ◽  
Zhankui Zhang ◽  
Xiaoling Yuan
Keyword(s):  
Wind Turbine ◽  
Vibration Reduction ◽  
Reduction Strategy ◽  
Pitch Control ◽  
Damping Control ◽  
Individual Pitch Control

scholarly journals Fault Detection for Pitch System of Wind Turbine-Driven Doubly Fed Based on IHHO-LightGBM

2021 ◽  
Vol 11 (17) ◽  
pp. 8030
Author(s):  
Mingzhu Tang ◽  
Zhonghui Peng ◽  
Huawei Wu
Keyword(s):  
Experimental Data ◽  
Control System ◽  
Fault Detection ◽  
False Alarm ◽  
Wind Turbine ◽  
False Alarm Rate ◽  
Optimization Algorithm ◽  
Pitch Control ◽  
Detection Model ◽  
Light Gradient

To address the issue of a large calculation and difficult optimization for the traditional fault detection of a wind turbine-based pitch control system, a fault detection model, based on LightGBM by the improved Harris Hawks optimization algorithm (light gradient boosting machine by the improved Harris Hawks optimization,IHHO-LightGBM) for the wind turbine-based pitch control system, is proposed in this article. Firstly, a trigonometric function model is introduced by IHHO to update the prey escape energy, to balance the global exploration ability and local development ability of the algorithm. In this model, the fault detection false alarm rate is used as the fitness function, and the two parameters are used as the optimization objects of the improved Harris Hawks optimization algorithm, to optimize the parameters, so as to achieve the global optimal parameters to improve the performance of the fault detection model. Three different fault data of the pitch control system in actual operations of domestic wind farms are used as the experimental data, the Pearson correlation analysis method is introduced, and the wind turbine power output is taken as the main state parameter, to analyze the correlation degree of all the characteristic variables of the data and screen the important characteristic variables out, so as to achieve the effective dimensionality reduction process of the data, by using the feature selection method. Three established fault detection models are selected and compared with the proposed method, to verify its feasibility. The experimental data indicate that compared with other algorithms, the fault detecting ability of the proposed model is improved in all aspects, and the false alarm rate and false negative rate are lower.

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