摘要
借鉴神经网络理论的研究成果,将其用于具有典型非线性、大滞后特性的电石炉控制系统.利用改进型El-man神经网络模型,通过系统仿真,与目前大量采用的PID控制系统比较,Elman神经网络在系统仿真中系统超调、调节时间等指标均优于PID控制,为电石炉控制系统控制环节的升级换代提供了现实可行的解决方案.
The paper uses for reference of the recent research on neural network,and uses it in the calcium carbide furnace control system with classical nonlinearity & big lag.The OIF Elman model method and MATLAB emulation mode are used in this course.Comparison between OIF Elman neural network method and common PID control system method,OIF Elman neural network control system is more preponderant than PID control system on several pivotal parameters,so OIF Elman neural network control method should be a real soluti...
出处
《微电子学与计算机》
CSCD
北大核心
2009年第3期121-123,共3页
Microelectronics & Computer
