安徽农业科学2011，Vol.39Issue(18)：11210-11212,3.
总线型粒子群神经网络谷物干燥机控制系统设计
Design of Grain Drying Machine Control System Based on Bus and Particle Swarm Neural Network
彭晓珊 1王虎 2陈雨青1
作者信息
- 1. 贵阳学院物电系,贵州,贵阳,550005
- 2. 中国农业大学信息与电气工程学院,北京,100083
- 折叠
摘要
Abstract
Aimed at the essential nonlinear,multiparameter and large delay of grain drying process,a Elman neural network is adopted to estab lish the model for grain drying process,the intelligent control system is designed by integrating the adaptive particle swarm optimization,and the test results are presented. In hardware design, a industrial personal computer is used to implement control algorithm, the hot blast temperature, the moisture content of grain are gained by MCU C8051F020 using the bus way, the system control parameters gained by industrial personal comput er' s calculation and optimization are transmitted to MCU via the UART,and implement machines such as the frequency converter and electronic air valve are controlled by the MCU.关键词
谷物干燥/自动控制/粒子群/神经网络Key words
Grain drying/ Automatic control/ Particle swarm/ Neural network分类
农业科技引用本文复制引用
彭晓珊,王虎,陈雨青..总线型粒子群神经网络谷物干燥机控制系统设计[J].安徽农业科学,2011,39(18):11210-11212,3.
