Vector control of wind turbine on the basis of the fuzzy selective neural net*

19th International Scientific Conference Reshetnev Readings 2015

Engel, E.A.^1 ; Kovalev, I.V.^2 ; Engel, N.E.^3

First Russian Doctoral Degree in Computer Sciences, Katanov State University of Khakassia, Abakan, Russia^1

Second Russian Doctoral Degree in Computer Sciences, Siberian State Aerospace University, Krasnoyarsk, Russia^2

Katanov State University of Khakassia, Abakan, Russia^3

关键词: Classical control models;    Competitive performance;    Control of wind turbines;    Maximum power point;    Maximum torque controls;    PID controllers;    Random perturbations;    Wind turbine systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/122/1/012007/pdf
DOI  :  10.1088/1757-899X/122/1/012007

来源: IOP

【 摘 要 】

An article describes vector control of wind turbine based on fuzzy selective neural net. Based on the wind turbine system's state, the fuzzy selective neural net tracks an maximum power point under random perturbations. Numerical simulations are accomplished to clarify the applicability and advantages of the proposed vector wind turbine's control on the basis of the fuzzy selective neuronet. The simulation results show that the proposed intelligent control of wind turbine achieves real-time control speed and competitive performance, as compared to a classical control model with PID controllers based on traditional maximum torque control strategy.