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基于ARM及神经网络串级预测控制方法的变风量空调控制系统
引用本文:庄俊华,刘熙,魏东.基于ARM及神经网络串级预测控制方法的变风量空调控制系统[J].仪表技术,2012(10):11-14,18.
作者姓名:庄俊华  刘熙  魏东
作者单位:[1]北京理工大学化工与环境学院,北京100081 [2]北京建筑工程学院电气与信息工程学院,北京100044 [3]北京建筑设计研究院,北京100045
基金项目:北京建筑工程学院科学研究基金项目(100602415)
摘    要:介绍了基于ARM嵌入式处理器S3C2410X的变风量空调控制系统。控制策略采用神经网络串级预测控制方法,在一定程度上解决了传统PID不易在线实时整定参数、难以对控制系统进行有效控制的不足。软件设计中移植了μC/OS-II操作系统,采用多任务程序设计方法设计程序,大大降低了编写程序的复杂度。实践表明,该控制系统控制效果好,开发周期及成本均较低。

关 键 词:神经网络  变风量空调  ARM  嵌入式系统

A VAV Control System Based on ARM and Neural Network Cascade Predictive Control
ZHUANG Jun-hua,LIU Xi,WEI Dong.A VAV Control System Based on ARM and Neural Network Cascade Predictive Control[J].Instrumentation Technology,2012(10):11-14,18.
Authors:ZHUANG Jun-hua  LIU Xi  WEI Dong
Affiliation:1.School of Chemical Industry and Environmental,Beijing Institute of Technology,Beijing 100081,China; 2.School of Electrical and Information Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China; 3.Beijing Institute of Architectural Design,Beijing 100045,China)
Abstract:A variable air volume(VAV) control system on the basis of ARM processor S3C2410X was designed.The neural network cascade predictive controlling strategies have been adopted in the system,which avoid the difficulty of tuning the parameters in the traditional PID and solve the problem of effective control to the system.The embedded operating system μC/ OS-II has been transplanted in the software design.It reduces the difficulty in software design because of the new method of multi-task program.The test shows the system has many advantages such as good control effect,short development cycle,low development costs,etc.
Keywords:neural network  VAV  ARM  embedded system
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