BP神经网络控制在静止式进相器中的应用  

BP Neural Network Control Applied to Static Phase Generator

作　　者：饶浩彬[1] 许湘莲[1] 严进林[1] 蔡珊珊[1] 查斌[1] 

机构地区：[1]武汉理工大学自动化学院,湖北武汉430070

出　　处：《计算技术与自动化》2009年第1期60-62,共3页Computing Technology and Automation

基　　金：湖北省科技攻关项目(2006AA101B27)

摘　　要：静止式进相器是专为大中型绕线式电动机节能降耗设计的无功功率就地补偿装置,它串接于交流绕线式异步电动机的转子回路,用以提高电动机的功率因数。静止式进相器在控制绕线式电机进相运行中,由于电机受随机干扰的影响,是一个较为复杂的系统,常规PID控制的参数不易在线自调整,难以实现最优控制。本文将BP神经网络控制应用到静止式进相器中,取得良好的效果。Static phase generator is the local reactive power compensootion equipment designed for large and medium - sized wound - rotor motors. It is in series with the rotor of the wound - rotor motor to enhance the power factor of the motor. The wound - rotor motor＇s operation controlled by static phase generator is much more complex system because of electrical interference by the random effects, the conventional PID parameters are difficult to be adjusted, it can not achieve optimal control. This paper applied BP neural network control to the Static Phase Generator, and achieved good results.

关 键 词：静止式进相器 绕线式电机 BP神经网络控制 

分 类 号：TM714.3[电气工程—电力系统及自动化]