BP神经网络PID控制算法在农作物干燥控制系统中的应用研究与设计

针对传统PID控制算法对于农作物烘干控制方法存在的不足,以实现对农作物高效、节能的干燥为目的,设计了一种新型农作物干燥控制系统。系统采用DS18B20、SHT10为信息采集源,将采集到的温湿度信息传递到以C8051F340单品机为核心的控制器进行整个干燥过程的控制决策。系统应用了BP神经网络PID控制算法调节温湿度。

BP Neural Network PID Control Algorithm Applied Research and Design of The Control System of Crop Drying

Traditional PID control algorithm for crop drying inadequate control methods exist to achieve the crop efficiency, energy saving drying for the purpose of designing a new type of crop drying control system. System uses DS18B20, SHT10 source for the information collection, transfer the collected information to the temperature and humidity in a single product machine C8051F340 as the core controller to control the decision-making throughout the drying process. System Application of BP neural network PID control algorithm to adjust the temperature and humidity.