International Journal of Frontiers in Engineering Technology, 2024, 6(5); doi: 10.25236/IJFET.2024.060505.
Yiwen Liu
Marine Engineering College, Jiangsu Shipping Vocational and Technical College, Nantong, 226010, China
When the wind turbine is running, parameters such as temperature, wind speed and wind direction are difficult to control using a PLC. In order to improve the power generation efficiency and minimise the parameter error, simulation experiments are carried out in SimKink in Matlab. An adaptive system based on MIT and Lyapunov function is designed to monitor and control the parameters of the wind turbine. The results show that the adaptive system based on the Lyapunov function can control the error of the temperature parameter to plus or minus 1 degree Celsius, the error of the wind speed parameter to plus or minus 10 rad/s and the error of the wind direction parameter to plus or minus 5 deg. The simulation results have good reliability and can provide theoretical guidance for actual production.
MATLAB, MIT, Liapunov Stability, Adaptive Control, SimKlink
Yiwen Liu. Adaptive system design of wind turbine parameters based on Lyapunov stability. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 5: 32-40. https://doi.org/10.25236/IJFET.2024.060505.
[1] Han Bing, Ma Jie. Independent pitch control method for large wind turbines based on model reference adaptive[J]. Distributed Energy, 2021, 6(05):26-32.DOI:10.16513/j.2096-2185.de.2106558.
[2] MEISAMI-AZAD M, GRIGORIADIS K M. Anti-windup linear parameter-varying control of pitch actuators in wind turbines[J]. Wind Energy, 2015, 18(2): 187-200.
[3] SUN Jingtao, LI Haiping, XIE Jiaan, et al. A semi-direct-drive wind turbine active power control method based on nonlinear robust H~∞ method[J]. Guangdong Electric Power, 2019, 32(03):104-111.
[4] Yanyong Wang. Design of constant pressure water supply system based on PLC and inverter[J]. Mechanical engineering and automation, 2024, (02):124-126+129.
[5] Xu Shengyi, Wang Zelin. Online monitoring method of large wind turbine blade load based on optical fibre sensor[J]. Science and Technology Innovation and Application, 2024, 14(10):151-154.DOI:10.19981/j.CN23-1581/G3.2024.10.037.
[6] He Yang, Li Wangwang, Ji Jinghua, et al. Sensorless control of servo motor based on amplitude-phase adaptive injection[J/OL]. Journal of Aeronautics, 1-13[2024-05-25].http://kns.cnki.net/kcms/ detail/11. 1929. V.20240522.0844.002.html.
[7] Du Zhiyong, Wang Jian, Liu Bingtao. Load testing and simulation verification of wind turbine based on prediction model [J]. China Science and Technology Information, 2024, (10):85-87.