Intelligent Control for Mixed-Flow Grain Dryer Tower

被引:0
作者
Ge Dongyuan [1 ]
Yao Xifan [1 ]
机构
[1] S China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510640, Guangdong, Peoples R China
来源
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON INFORMATIONIZATION, AUTOMATION AND ELECTRIFICATION IN AGRICULTURE | 2008年
关键词
Mixed-Flow; Grain Dryer Tower; Intelligent Control; RBF Neural Network; Tempering; Moisture Content of Discharged Grain;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Intelligent control of grain drying is important measurement to guarantee drying quality of grains. Neural networks are adopted to design self-adaptive control system for mixed-flow grain dryer tower. First a neural network is trained to identify the plant grain dryer tower, then another neural network with the same structure as the identification neural network is used as controller, thus the intelligent control is achieved precision for grain dryer tower.
引用
收藏
页码:337 / 342
页数:6
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