摘要
本设计基于中小楼房管道供水系统,采用AT80C51单片机、压力传感器、变频器、A/D转换、D/A转换电路等设备和元器件,结合工业智能控制技术,采用BP算法的神经网络PID调节器,利用自身的在线学习功能,实现自动调节连接权重,减小系统因变参数与非线性等因素的影响,从而提高系统的鲁棒性,达到恒压供水的目的。
Abstract： The design based on the small and medium building pipeline water supply system, using AT80C51 microcontroller, pressure sensor, inverter, A/D conversion, D/A conversion circuit and other equipment and components, combined with the industrial intelligent control technology, using BP algorithm of neural network PID regulator, using their own online learning function, realize the automatic adjustment of connection weight, reduce system with variable parameters with the nonlinear factors, improving the robustness of the system, achieving the purpose of constant pressure water supply.
出处
《电子设计工程》
2013年第8期27-29,共3页
Electronic Design Engineering
关键词
BP神经网络
恒压
供水
AT89C51
PID
Key words： BP neural network
constant pressure
water supply
AT89C51
PID
作者简介
赵浪涛（1974-），男，甘肃白银人，硕士，副教授。研究方向：控制理论与控制工程。
