التفاصيل البيبلوغرافية
| العنوان: |
Finite-time suspension control based on GFTSM and RBFNN for low-wind-speed MVAWT. |
| المؤلفون: |
Qiu, Yalan1 (AUTHOR), Chu, Xiaoguang1 (AUTHOR), Chen, Yixi1 (AUTHOR), Cai, Bin1 (AUTHOR) bincai1027@qfnu.edu.cn |
| المصدر: |
Control Engineering Practice. Apr2023, Vol. 133, pN.PAG-N.PAG. 1p. |
| مصطلحات موضوعية: |
*VERTICAL axis wind turbines, *WIND speed, *STABILITY theory, *LYAPUNOV stability, *WIND pressure |
| مستخلص: |
For low-wind-speed maglev vertical axis wind turbine (MVAWT), this paper proposes a finite-time suspension control strategy based on global fast terminal sliding mode (GFTSM) and adaptive RBF neural network (RBFNN). Due to the randomness of wind speed and wind direction, the actual working conditions of low-wind-speed wind farms are very complex. In order to ensure the stability of the maglev system in MVAWT and improve its anti-disturbance ability, a finite-time GFTSM controller with small chattering is firstly designed based on the dynamic suspension model considering external wind load disturbance. Secondly, the RBFNN is adopted to approximate system uncertainties and external disturbance, its network weight is adjusted according to the adaptive law, and the finite-time global fast convergence characteristic of GFTSM is also introduced into the adaptive law to improve the convergence speed of the RBFNN. Furthermore, in order to obtain the derivatives of input signals of controller and mitigate the effect of sensors' noise, a finite-time differentiator is introduced. According to Lyapunov stability theory, the stability and finite-time convergence characteristics of the proposed control strategy are proved. Finally, simulation and experiment results show that the proposed strategy has faster dynamic response speed and stronger anti-disturbance ability. • A novel MVAWT especially suitable for low-wind-speed wind farms is proposed. • A finite-time suspension control strategy based on GFTSM and RBFNN is proposed. • Based on the finite-time GFTSM control, the convergence speed of RBFNN is improved. • The proposed control strategy improves the anti-disturbance ability of MS of MVAWT. • The proposed strategy improves the dynamic response speed of suspension control. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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