摘要
针对磨机出入口温度控制过程非线性、大滞后等特点以及模糊控制理论,利用VB6.0语言编程进行硬件描述,通过模糊自整定参数的方式来整定PID控制器的3个参数,利用PID控制器进行控制输出,设计出了多通道模糊PID温度控制器。应用表明,该模糊神经网络具有良好的自学习功能,磨机出入口温度误差被控制在±5℃之内,控制效果良好。
Based on the characteristics of nonlinearity and large lagging etc of control course for the inlet/outlet temperature of grinding machine and the fuzzy control theory, a multi-channel fuzzy PID temperature controller was designed by using VB6.0 language programming to describe hardware and using PID controller to control output. The three parameters of PID controller were tuned through fuzzy serf-tuning parameter. Its application indicated that this fuzzy neural network has good function of self-study, and the temperature error was controlled within ±5 ℃. Therefore, the effects of controlling temperature are quite satisfied.
出处
《山东冶金》
CAS
2009年第1期50-52,共3页
Shandong Metallurgy
关键词
磨机
模糊神经网络
温度控制器
自适应
grinding machine
fuzzy neural network
temperature controller
temperature drift
self-adjustment
