神经网络控制器在软开关中的应用  

Nerve Network Controller in the Application of Poft Switch

作　　者：白林绪[1] 王聪[1] 曹连兵[1] 

机构地区：[1]中国矿业大学(北京)机电与信息工程学院信电系,北京100083

出　　处：《电源世界》2009年第10期21-23,26,共4页The World of Power Supply

摘　　要：在软开关谐振功率变换器系统中,由于增加了谐振元件以及系统本身存在的严重的非线性和时变不确定性等特点,极大地影响了系统输出电压的动态响应性能。针对这一问题,本文提出了一种新的控制策略,将基于PID的神经网络控制器用于脉宽调制型的软开关谐振功率变换器中,提高了系统的动态响应性能。这种控制器是一种新型的误差前向反馈神经网络,将神经网络和PID控制规律融为一体。In resonanced soft switch converter system, on account of resonanced component and unlinearity and incertitude which consist in system, which influenced the dynamiced respond of output voltage seriousiy. In allusion to this problem the text advanced a new control policy, used the nerve network controller PID in resonanced power soft switch converter which based on pulse width modulate. By done this could enhance dynamiced respond of the system. The converter was a new error forward feedback nerve network which combined nerve network which PID controling rule

关 键 词：软开关 神经网络 控制 

分 类 号：TN433[电子电信—微电子学与固体电子学]