摘要
传统PI调节器控制复杂对象的效果往往不能令人满意,根据PI调节系统运行经验设计的神经网络自组织模糊控制器,为系统控制提供了一种实时性、非线性参数适应性等更有效的方法。
The control effect of the traditional PI regulator on a complicated object is always not so satisfactory.A nerve network self-organizing fuzzy controller is designed based on the operative experiences of PI regulating system,which provides a more effective method for system with non-linear parameters in real-time.
出处
《煤矿机电》
2011年第2期1-2,6,共3页
Colliery Mechanical & Electrical Technology
基金
2009年河南省科技攻关项目(编号:092102210243)
关键词
神经网络
模糊控制
变频调速
nerve network
fuzzy control
frequency converting speed-regulation
