Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability
This paper proposes an Adaptive Robust Control (ARC) strategy for pump-controlled pitch systems in large wind turbines to address challenges in control accuracy and energy efficiency. First, a mathematical model integrating pitch angle dynamics and hydraulic characteristics is established, with pitc...
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2024-11-01
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author | Tiangui Zhang Bo Yu Xuewei Wang Yinping Liu Gexin Chen Keyi Liu Chao Ai Lihui Wang |
author_facet | Tiangui Zhang Bo Yu Xuewei Wang Yinping Liu Gexin Chen Keyi Liu Chao Ai Lihui Wang |
author_sort | Tiangui Zhang |
collection | DOAJ |
description | This paper proposes an Adaptive Robust Control (ARC) strategy for pump-controlled pitch systems in large wind turbines to address challenges in control accuracy and energy efficiency. First, a mathematical model integrating pitch angle dynamics and hydraulic characteristics is established, with pitch angle, pitch angular velocity, and hydraulic cylinder thrust as state variables. Then, an ARC strategy is designed using the backstepping method and incorporating parameter adaptation to handle system nonlinearities and uncertainties. The controller parameters are optimized using Particle Swarm Optimization (PSO) under wind disturbance conditions, and comparative analyses are conducted with traditional PID control. The numerical simulation results show that both controllers achieve similar tracking performance under nominal conditions, with PID achieving a 0.08° maximum error and ARC showing a 0.1° maximum error. However, the ARC strategy demonstrates superior robustness under parameter variations, maintaining tracking errors below 0.15°, while the PID error increases to 1.5°. Physical test bench experiments further validate these findings, with ARC showing significantly better performance during cylinder retraction with 0.1° error compared to PID’s 0.7° error. The proposed control strategy effectively handles both the inherent nonlinearities of the pump-controlled system and external disturbances, providing a practical solution for precise pitch control in large wind turbines while maintaining energy efficiency through the pump-controlled approach. |
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id | doaj-art-2676e8b9a8a24ec28b51aea82f15edc3 |
institution | Kabale University |
issn | 2076-3417 |
language | English |
publishDate | 2024-11-01 |
publisher | MDPI AG |
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series | Applied Sciences |
spelling | doaj-art-2676e8b9a8a24ec28b51aea82f15edc32024-11-26T17:47:55ZengMDPI AGApplied Sciences2076-34172024-11-0114221021810.3390/app142210218Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter VariabilityTiangui Zhang0Bo Yu1Xuewei Wang2Yinping Liu3Gexin Chen4Keyi Liu5Chao Ai6Lihui Wang7School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, ChinaMechanical and Electrical Engineering, Xinjiang Institute of Engineering, Urumqi 830023, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, ChinaMechanical and Electrical Engineering, Xinjiang Institute of Engineering, Urumqi 830023, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, ChinaShougang Jingtang United Iron & Steel Co., Ltd., Tangshan 063000, ChinaThis paper proposes an Adaptive Robust Control (ARC) strategy for pump-controlled pitch systems in large wind turbines to address challenges in control accuracy and energy efficiency. First, a mathematical model integrating pitch angle dynamics and hydraulic characteristics is established, with pitch angle, pitch angular velocity, and hydraulic cylinder thrust as state variables. Then, an ARC strategy is designed using the backstepping method and incorporating parameter adaptation to handle system nonlinearities and uncertainties. The controller parameters are optimized using Particle Swarm Optimization (PSO) under wind disturbance conditions, and comparative analyses are conducted with traditional PID control. The numerical simulation results show that both controllers achieve similar tracking performance under nominal conditions, with PID achieving a 0.08° maximum error and ARC showing a 0.1° maximum error. However, the ARC strategy demonstrates superior robustness under parameter variations, maintaining tracking errors below 0.15°, while the PID error increases to 1.5°. Physical test bench experiments further validate these findings, with ARC showing significantly better performance during cylinder retraction with 0.1° error compared to PID’s 0.7° error. The proposed control strategy effectively handles both the inherent nonlinearities of the pump-controlled system and external disturbances, providing a practical solution for precise pitch control in large wind turbines while maintaining energy efficiency through the pump-controlled approach.https://www.mdpi.com/2076-3417/14/22/10218pump-controlledadaptive robust controlwind turbinespitch angle |
spellingShingle | Tiangui Zhang Bo Yu Xuewei Wang Yinping Liu Gexin Chen Keyi Liu Chao Ai Lihui Wang Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability Applied Sciences pump-controlled adaptive robust control wind turbines pitch angle |
title | Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability |
title_full | Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability |
title_fullStr | Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability |
title_full_unstemmed | Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability |
title_short | Adaptive Robust Control for Pump-Controlled Pitch Systems Facing Wind Speed and System Parameter Variability |
title_sort | adaptive robust control for pump controlled pitch systems facing wind speed and system parameter variability |
topic | pump-controlled adaptive robust control wind turbines pitch angle |
url | https://www.mdpi.com/2076-3417/14/22/10218 |
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