摘要
根据神经网络系统和内模控制系统的基本原理,结合结晶器振动控制结构,建立神经网络内模控制(NN-IMC)系统。通过分析,采用范化回归神经网络GRNN进行系统控制,并对连铸连轧结晶器振动波形进行系统仿真。仿真结果表明NN-IMC系统能够很好地跟踪结晶器振动波形,满足系统的性能要求。
According to the basic principles of the neural network system and the internal model system, combined mold vibration control structure, the neural network-internal model control ( NN-IMC) system is established. System control is performed with generalized regression neural network( GRNN) , and mold vibration waveform of continuous casting and rolling is simulated. The simulation result indicated that the NN-IMC system could track mold vibration waveform well, and satisfy performance requirement.
出处
《噪声与振动控制》
CSCD
北大核心
2008年第3期39-41,95,共4页
Noise and Vibration Control
关键词
振动与波
神经网络
内模控制
结晶器
振动
vibration and wave
neural network
internal model control
mold
vibration