摘要
针对油田联合站集输控制系统数学模型的不确定性,采用神经网络来设计系统的控制器,利用1个3层BP网络构造PID控制器,在一定程度上解决了传统PID调节器不易在线实时整定参数的不足,提高了控制器对系统和环境的控制效果。
In order to confirm numeric model of controlling system for oil field united stations output, the paper use neural network to design the system controller and utilized a three large BP network to compose the PID controller,which solved the problem that the traditional PID adjuster is difficult to determine the parameters on line moment,and improve the effect to the system and the environment.
出处
《石油化工自动化》
CAS
2005年第6期40-41,共2页
Automation in Petro-chemical Industry
关键词
神经网络
联合站
数学模型
neural network
united station
numeric model
