Research on Power Control of Wind Power Generation Based on Neural Network Adaptive

Research on Power Control of Wind Power Generation Based on Neural Network Adaptive Control

因为风发电系统的特征是 multivariable ，非线性、随机，在这篇论文，神经网络 PID 适应控制是沥青的 adopted.The 尺寸角度及时被调整改进力量 control.The PID 参数的性能被坡度降下方法改正，并且光线的基础 Functinn ( RBF )当在这 method.Simulation 的系统标识符结果，神经网络被使用杂木林由使用神经适应 PID 控制器生成器力量控制罐头

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.