A Comparison between LIDAR-based Feedforward and DAC for Control of Wind Turbines

被引:0
|
作者
Khaniki, Mohammad Salari [1 ]
Schlipf, David [1 ]
Cheng, Po Wen [1 ]
机构
[1] Univ Stuttgart, Inst Aircraft Design, Stuttgart Wind Energy SWE, Stuttgart, Germany
关键词
SPEED;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The rotor-effective wind speed is the main disturbance for wind turbine collective pitch controller. On the one hand, Lidar-Systems provide good estimates of this wind speed and thus lidar-assisted feedforward control (LAC) is very promising to reduce structural loads. On the other hand, several pseudo-feedforward controller such as the Disturbance Accommodating Control (DAC) have been proposed, which are based on an estimate of the rotor-effective wind speed from turbine signals and thus avoid the additional cost of a lidar system. This study compares both concepts for overrated wind speed using low-order linear models to investigate the fundamental differences. Results show that DAC without considering pitch actuator dynamics can obtain comparable results with the LAC due to the measurement uncertainty of the lidar-measurement. When pitch actuator dynamics are included in the simulation, the LAC results are not impacted, since the wind speed estimation is provided with some preview. However, the results of DAC including pitch actuator dynamics are impacted significantly and cannot reach the benefit of LAC.
引用
收藏
页码:1650 / 1655
页数:6
相关论文
共 50 条
  • [1] Comparison of REWS and LIDAR-based feedforward control for fatigue load mitigation in wind turbines
    Woolcock, Luke
    Liu, Vincent
    Witherby, Arthur
    Schmid, Robert
    Mahdizadeh, Amin
    CONTROL ENGINEERING PRACTICE, 2023, 138
  • [2] Lidar-based feedforward control design methodology for tower load alleviation in wind turbines
    Miquelez-Madariaga, Irene
    Lizarraga-Zubeldia, Idoia
    Diaz de Corcuera, Asier
    Elso, Jorge
    WIND ENERGY, 2022, 25 (07) : 1238 - 1251
  • [3] LIDAR-Based Robust Wind-Scheduled Control of Wind Turbines
    Rezaei, Vahid
    2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 4416 - 4421
  • [4] Integrating Robust Lidar-Based Feedforward with Feedback Control to Enhance Speed Regulation of Floating Wind Turbines
    Navalkar, S. T.
    van Wingerden, J. W.
    Fleming, P. A.
    van Kuik, G. A. M.
    2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 3070 - 3075
  • [5] Comparison of Feedforward and Model Predictive Control of Wind Turbines Using LIDAR
    Schlipf, David
    Pao, Lucy Y.
    Cheng, Po Wen
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 3050 - 3055
  • [6] Reduction in the Fluctuating Load on Wind Turbines by Using a Combined Nacelle Acceleration Feedback and Lidar-Based Feedforward Control
    Yamaguchi, Atsushi
    Yousefi, Iman
    Ishihara, Takeshi
    ENERGIES, 2020, 13 (17)
  • [7] A LiDAR-Based Pitch Control Strategy for Ultra Large Wind Turbines
    Farag, Wael
    Hassan, Hussien
    Saad, Mohamed
    Elshafei, Abdel-Latif
    2017 NINETEENTH INTERNATIONAL MIDDLE-EAST POWER SYSTEMS CONFERENCE (MEPCON), 2017, : 451 - 458
  • [8] LIDAR based multivariable H∞ feedforward control for load reduction in wind turbines
    Miquelez-Madariaga, I.
    Schlipf, D.
    Elso, J.
    Guo, F.
    Diaz de Corcuera, A.
    SCIENCE OF MAKING TORQUE FROM WIND, TORQUE 2022, 2022, 2265
  • [9] LIDAR-based FX-RLS Feedforward Control For Wind Turbine Load Mitigation
    Wang, Na
    Johnson, Kathryn E.
    Wright, Alan D.
    2011 AMERICAN CONTROL CONFERENCE, 2011,
  • [10] Prospects of Multivariable Feedforward Control of Wind Turbines Using Lidar
    Schlipf, David
    2016 AMERICAN CONTROL CONFERENCE (ACC), 2016, : 1393 - 1398