基于模糊PID的室内空气质量测控系统

针对室内空气质量调节不及时和新风能耗高的问题，设计并实现了一种基于模糊PID的室内空气质量测控系统。首先，以STM32微处理器为核心，结合多种空气质量传感器、通信模块与控制模块，分别实现了数据采集、数据通信与新风控制功能。基于Java Web技术，设计了空气质量软件展示平台。然后，选取室内具有代表性的CO2、TVOC作为污染物控制指标，设计了一种模糊PID控制算法。通过将室内空气质量系统简化为一阶纯滞后惯性环节，仿真验证了模糊PID控制器的有效性。最后，实验结果表明该系统调节速度较快，稳定性高，与使用传统控制方式相比新风能耗减少约22.2%，具有一定的应用价值。

Measurement and control system of indoor air quality based on fuzzy PID

To address the problems of untimely indoor air quality regulation and high energy consumption of ventilation system, this paper designs and implements a fuzzy PID-based indoor air quality measurement and control system. Firstly, the functions of data collection, data communication and fresh air control are achieved with STM32 microprocessor as the core, combined with various air quality sensors, communication module and control module, respectively. And the air quality software display platform is designed based on Java Web technology. Secondly, a fuzzy PID control algorithm is designed by selecting the representative indoor CO2 and TVOC as pollutant control indexes. Then, simulation verifies the effectiveness of the fuzzy PID controller by simplifying the ventilation system to a first-order pure hysteresis inertia link. Finally, the experimental results show that compared with the traditional control method, the system not only has fast regulation speed and high stability, but also saves 22.2% of system energy consumption, which has some application value.