Application of BP Neural Network for Wind Turbines
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference（2009）
摘要
In order to solve non-linear, parameter time changing, anti-disturb and time-lag problems, a PID control method based on the BP neural network has been presented and applied in the variable pitch wind turbine control system. After analyzing the BP neural network PID control principles, a control system was established. Then the simulation was carried out based on Simulink. Finally, a conclusion was made.
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关键词
nonlinear problem,bp neural network,wind turbines,power system control,control system,control,bp,time-lag problem,neurocontrollers,time-varying systems,variable pitch wind turbine,control principle,time-lag problems,network,variable pitch wind turbine control system,backpropagation,n order,bp neural network application,bp neural network pid,parameter time,nonlinear control systems,parameter time changing problem,simulink,pitch,pid control method,anti-disturb problem,three-term control,artificial neural networks,time change,control systems,wind speed,simulation,pid control,neural network,control network,generators
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