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Research on Power Control of Wind Power Generation Based on Neural Network Adaptive Control 被引量:1

Research on Power Control of Wind Power Generation Based on Neural Network Adaptive
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摘要 For the characteristics of wind power generation system is multivariable, nonlinear and random, in this paper the neural network PID adaptive control is adopted. The size of pitch angle is adjusted in time to improve the perfomance of power control. The PID parameters are corrected by the gradient descent method, and Radial Basis Functiion (RBF) neural network is used as the system identifier in this method. Sinlation results show that by using neural network adaptive PID controller the generator power control can inhibit effectively the speed and affect the output prover of generator. The dynamic performnce and robustness of the controlled system is good, and the peformance of wind power system is improved.
出处 《Journal of Measurement Science and Instrumentation》 CAS 2010年第2期173-177,共5页 测试科学与仪器(英文版)
基金 supported by the Science and Technology Major Special Projects Gansu(No.0801GKDA058)
关键词 wind power generation power control PID adaptive oontroi neural network 神经网络自适应控制 风力发电系统 功率控制 自适应PID控制器 PID自适应控制 梯度下降法 PID参数 性能比较
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