Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach

Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach

We present an application of L1 adaptive output feedback control design to wind turbine collective pitch control and load mitigation. Our main objective is the design of an L1 output feedback controller without wind speed estimation, ensuring that the generator speed tracks the reference trajectory...

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Main Authors: Danyong Li, Yongduan Song, Wenchuan Cai, Peng Li, Hamid R. Karimi
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/719803
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spelling doaj-09a1d37041b44c938610d54eeb5ced9c2020-11-24T23:10:37ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/719803719803Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive ApproachDanyong Li0Yongduan Song1Wenchuan Cai2Peng Li3Hamid R. Karimi4School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, ChinaDepartment of Engineering, University of Agder, 4898 Grimstad, NorwayWe present an application of L1 adaptive output feedback control design to wind turbine collective pitch control and load mitigation. Our main objective is the design of an L1 output feedback controller without wind speed estimation, ensuring that the generator speed tracks the reference trajectory with robustness to uncertain parameters and time-varying disturbances (mainly the uniform wind disturbance across the wind turbine rotor). The wind turbine model CART (controls advanced research turbine) developed by the national renewable energy laboratory (NREL) is used to validate the performance of the proposed L1 adaptive controller using the FAST (fatigue, aerodynamics, structures, and turbulence) code. A comparative study is also conducted between the proposed controller and the most popular methods in practice: gain scheduling PI (GSPI) controls and disturbance accommodating control (DAC) methods. The results show better performance of L1 output feedback controller over the other two methods. Moreover, based on the FAST software and LQR analysis in the reference model selection of L1 adaptive controller, tradeoff can be achieved between control performance and loads mitigation.http://dx.doi.org/10.1155/2014/719803
collection DOAJ
language English
format Article
sources DOAJ
author Danyong Li
Yongduan Song
Wenchuan Cai
Peng Li
Hamid R. Karimi
spellingShingle Danyong Li
Yongduan Song
Wenchuan Cai
Peng Li
Hamid R. Karimi
Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach
Mathematical Problems in Engineering
author_facet Danyong Li
Yongduan Song
Wenchuan Cai
Peng Li
Hamid R. Karimi
author_sort Danyong Li
title Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach
title_short Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach
title_full Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach
title_fullStr Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach
title_full_unstemmed Wind Turbine Pitch Control and Load Mitigation Using an L1 Adaptive Approach
title_sort wind turbine pitch control and load mitigation using an l1 adaptive approach
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
description We present an application of L1 adaptive output feedback control design to wind turbine collective pitch control and load mitigation. Our main objective is the design of an L1 output feedback controller without wind speed estimation, ensuring that the generator speed tracks the reference trajectory with robustness to uncertain parameters and time-varying disturbances (mainly the uniform wind disturbance across the wind turbine rotor). The wind turbine model CART (controls advanced research turbine) developed by the national renewable energy laboratory (NREL) is used to validate the performance of the proposed L1 adaptive controller using the FAST (fatigue, aerodynamics, structures, and turbulence) code. A comparative study is also conducted between the proposed controller and the most popular methods in practice: gain scheduling PI (GSPI) controls and disturbance accommodating control (DAC) methods. The results show better performance of L1 output feedback controller over the other two methods. Moreover, based on the FAST software and LQR analysis in the reference model selection of L1 adaptive controller, tradeoff can be achieved between control performance and loads mitigation.
url http://dx.doi.org/10.1155/2014/719803
work_keys_str_mv AT danyongli windturbinepitchcontrolandloadmitigationusinganl1adaptiveapproach
AT yongduansong windturbinepitchcontrolandloadmitigationusinganl1adaptiveapproach
AT wenchuancai windturbinepitchcontrolandloadmitigationusinganl1adaptiveapproach
AT pengli windturbinepitchcontrolandloadmitigationusinganl1adaptiveapproach
AT hamidrkarimi windturbinepitchcontrolandloadmitigationusinganl1adaptiveapproach
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