柴油发电机神经网络非线性励磁控制器研究

Nonlinear Excitation Controller for Diesel Generator Based on Neural Network

采用基于LM算法的BP神经网络逼近柴油无刷发电机微分几何非线性励磁控制器,实现了神经网络非线性励磁控制方式,简化了控制回路。仿真结果表明,在系统遭受扰动或故障时,所设计的神经网络非线性励磁控制器具有良好的控制效果。

Although nonlinear excitation controller for diesel generator has good effects, its control law is complex, so that taking it into practice is difficult. In this paper, the BP neural network based on LM algorithm is applied to imitate the nonlinear excitation controller. The neural network nonlinear excitation controller simplifies nonlinear excitation control loops and has as well as good control effects in the system dynamic and transient characteristics.