摘要
基于RBF神经网络的PID控制整定分析,通过MATLAB构建CSTR对象模型,综合生产环境与各种干扰性因素,利用整定PID参数的方式进行控制分析,效果显著。基于此,文章主要对基于RBF神经网络的PID控制整定的相关内容进行了简单的分析论述。
The PID control setting analysis based on RBF neural network, the CSTR object model is constructed by MATLAB, the production environment and various interference factors are integrated. The control analysis is carried out by setting PID parameters, and the effect is remarkable. Based on this, this paper mainly analyzes and discusses the related contents of PID control setting based on RBF neural network.
作者
许笑梅
赵东亚
曹磊
XU Xiaomei;ZHAO Dongya;CAO Lei
出处
《科技创新与应用》
2019年第13期32-33,共2页
Technology Innovation and Application
