谷物干燥过程参数在线检测与智能预测控制  

On-line Measurement and Intelligent Prediction Control of Grain Parameters in Drying Process

作　　者：张吉礼[1] 陆亚俊[1] 刘辉[1] 唐晓健[1] 

机构地区：[1]哈尔滨工业大学市政环境工程学院

出　　处：《农业机械学报》2003年第2期50-53,57,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目 (项目编号 :5 990 80 0 1)

摘　　要：在分析了谷物干燥过程热工特性及影响干燥机出口谷物含水量的关键因素基础上 ,提出了谷物含水量在线检测和模糊神经网络预测控制方法 ,开发了谷物参数在线检测与智能预测控制软件 。Grain drying process is a typical thermal process with characteristics of multi variables, long delayed time and nonlinear. It is hardly to find an accurate mathematical model for a grain drying process and very difficult to obtain an ideal control by the traditional control methods. In this paper, the thermal characteristics of grain drying process and the key factors influencing the grain moisture content were analyzed. On the basis of the results, an on line measurement and fuzzy neural network prediction control method of grain parameters was put forward. Finally, an on line measurement and intelligent prediction control software of grain parameters was developed, which supplied us with an application tool to accomplish on line measurement and intelligent prediction control for a grain drying process.

关 键 词：农业机械 谷物干燥机 自动控制 模糊神经网络 预测 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] S226[自动化与计算机技术—控制科学与工程]