基于模糊解耦控制的玻璃温室大棚的环境监控

Environment Monitoring of Glass Greenhouse Based on Fuzzy Decoupling Control

针对农业大棚环境控制中数据繁杂、耦合性强和控制精度差等现象,提出了一种将多传感器数据融合、解耦控制和模糊PID控制相结合的自适应控制策略,并设计了解耦控制器和模糊PID控制器。该控制策略通过对中位值平均滤波算法的加权优化,将优化后的数据输入控制器中,对环境数据实时跟踪,实现对农业大棚环境的精确控制。利用Simulink对控制系统进行仿真,结果显示,该控制策略相较于传统PID控制和模糊PID控制的反应速度和稳定性有明显提高,并且在农业大棚智能控制的实际应用中取得较好的效果。

Aiming at the phenomena of complex data,strong coupling and poor control accuracy in the environmental control of agricultural greenhouse,an adaptive control strategy combining multi-sensor data fusion,decoupling control and fuzzy PID control is proposed,and the coupling controller and fuzzy PID controller are designed.Through the weighted optimization of the median value average filtering algorithm,the optimized data are input into the controller for processing,and the environmental data are tracked in real-time to realize the accurate control of the agricultural greenhouse environment.The control system is simulated by Simulink,and the results show that compared with traditional PID control and fuzzy PID control,the response speed and stability of this control strategy are significantly improved,and in the practical application of intelligent control of agricultural greenhouse,good results are obtained.