Pitch angle control based on uncertainty observation for hydraulic motor system in wind turbine

120 views

Authors

  • Nghiem Xuan Thuoc (Corresponding Author) Hanoi University of Industry
  • Tran Duc Thuan Academy of Military Science and Technology
  • Nguyen Viet Anh Hanoi University of Industry
  • Hoang Quoc Xuyen Academy of Military Science and Technology
  • Nguyen Xuan Quynh Academy of Military Science and Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.94.2024.39-47

Keywords:

Servo hydraulic motor; Pitch angle; Uncertainty disturbance observer; Dynamic surface controller; Backstepping; Disturbance observer; Radial basis function.

Abstract

This article presents a model of a servo hydraulic motor driving a wind turbine blade under the influence of total uncertainty including model error, wind load moment and moment caused by friction, thereby Apply uncertainty controllers and monitors to increase accuracy and stability in the process of controlling the pitch angle of the propeller. A control structure combining a disturbance observer and a Dynamic Surface Sliding Controller (DSC) has been proposed, in which the observer is designed to deal with the harmful effects that the uncertain disturbance component causes to the system. wind turbine system, the accuracy of the control system is significantly improved thanks to the appearance of the observer. The proposed control structure ensures stability for the entire wind turbine system through verification using Lyapunov stability theory. Numerical simulations were performed comparing the proposed controller with Backstepping controllers (BSP) and dynamic surface sliding controls, clearly showing a clear improvement in control quality.

References

[1]. M. Aleem, S. Bhattacharya, J. Mendoza, and G. Prakhya, Wind Energy Engineering: A Handbook for Onshore and Offshore Wind Turbines. Elsevier, (2023). doi: https://doi.org/10.1016/C2021-0-00258-3. DOI: https://doi.org/10.1016/C2021-0-00258-3

[2]. R. Nash, R. Nouri, and A. Vasel-be-hagh, “Wind turbine wake control strategies : A review and concept proposal,” Energy Convers. Manag., vol. 245, no. April, p. 114581, (2021), doi: 10.1016/j.enconman.2021.114581. DOI: https://doi.org/10.1016/j.enconman.2021.114581

[3]. X. X. Yin, Y. G. Lin, W. Li, Y. J. Gu, P. F. Lei, and H. W. Liu, “Adaptive back-stepping pitch angle control for wind turbine based on a new electro-hydraulic pitch system,” Int. J. Control, vol. 88, no. 11, pp. 2316–2326, (2015), doi: 10.1080/00207179.2015.1041554. DOI: https://doi.org/10.1080/00207179.2015.1041554

[4]. X. Yin, W. Zhang, Z. Jiang, and L. Pan, “Adaptive robust integral sliding mode pitch angle control of an electro-hydraulic servo pitch system for wind turbine,” Mech. Syst. Signal Process., vol. 133, p. 105704, (2019), doi: 10.1016/j.ymssp.2018.09.026. DOI: https://doi.org/10.1016/j.ymssp.2018.09.026

[5]. A. Shourangiz-Haghighi et al., “Developing More Efficient Wind Turbines: A Survey of Control Challenges and Opportunities,” IEEE Ind. Electron. Mag., vol. 14, no. 4, pp. 53–64, Dec. (2020), doi: 10.1109/MIE.2020.2990353. DOI: https://doi.org/10.1109/MIE.2020.2990353

[6]. T. Salic, J. F. Charpentier, M. Benbouzid, and M. Le Boulluec, “Control Strategies for Floating Offshore Wind Turbine: Challenges and Trends,” Electronics, vol. 8, no. 10, p. 1185, Oct. (2019), doi: 10.3390/electronics8101185. DOI: https://doi.org/10.3390/electronics8101185

[7]. D. Zhang, P. Cross, X. Ma, and W. Li, “Improved control of individual blade pitch for wind turbines,” Sensors Actuators, A Phys., vol. 198, pp. 8–14, (2013), doi: 10.1016/j.sna.2013.04.020. DOI: https://doi.org/10.1016/j.sna.2013.04.020

[8]. H. Jafarnejadsani, J. Pieper, and J. Ehlers, “Adaptive control of a variable-speed variable-pitch wind turbine using radial-basis function neural network,” IEEE Trans. Control Syst. Technol., vol. 21, no. 6, pp. 2264–2272, (2013), doi: 10.1109/TCST.2012.2237518. DOI: https://doi.org/10.1109/TCST.2012.2237518

[9]. I. Poultangari, R. Shahnazi, and M. Sheikhan, “RBF neural network based PI pitch controller for a class of 5-MW wind turbines using particle swarm optimization algorithm,” ISA Trans., vol. 51, no. 5, pp. 641–648, (2012), doi: 10.1016/J.ISATRA.2012.06.001. DOI: https://doi.org/10.1016/j.isatra.2012.06.001

[10]. H. Ren, G. Deng, B. Hou, S. Wang, and G. Zhou, “Finite-Time Command Filtered Backstepping Algorithm-Based Pitch Angle Tracking Control for Wind Turbine Hydraulic Pitch Systems,” IEEE Access, vol. 7, pp. 135514–135524, (2019), doi: 10.1109/ACCESS.2019.2941891 DOI: https://doi.org/10.1109/ACCESS.2019.2941891

Published

22-04-2024

How to Cite

Nghiêm Xuân, T., Trần Đức Thuận, Nguyễn Việt Anh, Hoàng Quốc Xuyên, and Nguyễn Xuân Quỳnh. “Pitch Angle Control Based on Uncertainty Observation for Hydraulic Motor System in Wind Turbine”. Journal of Military Science and Technology, vol. 94, no. 94, Apr. 2024, pp. 39-47, doi:10.54939/1859-1043.j.mst.94.2024.39-47.

Issue

Section

Electronics & Automation

Categories

Most read articles by the same author(s)