Intelligent Control System of Grain Drying Based on Neural Network
LIU Yongjun
DONG Chunxiao
YANG Bin
GAO Bo
Abstract：Grain drying process is a typical nonlinear,multi variable,large lag,parameter associated coupled unsteady heat transfer and mass transfer process.According to this problem,the intelligent control system based on neural network and fuzzy control algorithm is designed.The simulation results show that,after a period of training,neural network algo-rithm can be used to study the parameters of drying process,combined with fuzzy control algorithm to achieve automatic con-trol of grain drying process,so that the drying of grain to achieve the set of water value.
Keywords：drying towerneural networkfuzzy controlintelligent control
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1271-1276 )