基于神经网络算法的粮食智能控制系统研究

Intelligent Control System of Grain Drying Based on Neural Network

粮食烘干过程是典型的非线性、多变量、大滞后、参数关联耦合的非稳态传热、传质过程。针对这一问题,设计了基于神经网络和模糊控制算法粮食烘干塔智能控制系统。仿真结果表明,在进行一段时间的训练后,神经网络算法能够对烘干过程的各参数进行学习,结合模糊控制算法能够实现对粮食烘干过程的自动控制,使得烘干的粮食达到设定的水分值。

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 algorithm can be used to study the parameters of drying process,combined with fuzzy control algorithm to achieve automatic control of grain drying process,so that the drying of grain to achieve the set of water value.