同步发电机神经网络励磁控制的仿真研究

Simulation of synchronous generator's neural network excitation control

人工神经网络是试图模仿生物神经系统的功能而建立的一种智能信息处理系统，它具有许多优点适用于自动控制领域。本文应用神经网络的非线性映射能力，直接抽取表征发电机运行的状态量映射控制输入，针对所提出的模型比较了神经网络控制与ＰＩＤ控制的效果，证明了神经网络控制的优越性。

Artificial neural network is the simulation of the neural network of human's brain. It has many advantages in the control field. With the neural network's nonlinear capacity, the thesis directly selected the generator's working states to map the control input. Aimed to the posed model, the neural network control and PID control are compared.