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模糊神经网络在发电机励磁控制中的应用
引用本文:周洪彦,杨润生,周发琳,张贵芳.模糊神经网络在发电机励磁控制中的应用[J].军械工程学院学报,2008,20(5):58-62.
作者姓名:周洪彦  杨润生  周发琳  张贵芳
作者单位:[1]军械工程学院电气工程系,河北石家庄050003 [2]73085部队,江苏徐州221011
摘    要:采用含有惯性项学习算法的BP神经网络代替模糊PID控制器,对同步发电机励磁控制系统进行仿真。仿真结果表明,在系统遭受扰动或突加减载时,所设计的模糊神经网络励磁控制器具有良好的控制效果。

关 键 词:同步发电机  励磁调节器  PID控制  BP神经网络  模糊控制

Simulation of AVR for Synchronous Generator Base on FNN
Institution:ZHOU Hong-yan, YANG Run-sheng, ZHOU Fa-lin, ZHANG Gui-fang(1. Department of Electrical Engineering, Ordnance Engineering College, Shijiazhuang 050003, China; 2. Unit 73085, Xuzhou 221011, China)
Abstract:Although fuzzy excitation PID controller of AVR( auto voltage regulator)for synchronous generator has good effects its control law is complex, and so putting it into practice is difficult. In this paper, the BP neural networks is applied to imitate the fuzzy excitation controller. The FNN (fuzzy neural network) excitation controller has good control effects in the system dynamic and transient characteristics.
Keywords:synchronous generator  AVR  PID control  BPANN (back-propagation artificial neural network)  fuzzy
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