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对于当前商场、火车站等大型空间的VAV中央空调末端装置普遍采用有线、单点的采集方式,不能准确表征整体空间环境特征,并且末端控制器控制效果较差的问题。基于ARM9和无线传感器网络,采用模糊PID控制策略,设计并实现了一个可无线、多点采集温湿度的中央空调末端智能控制器。其借助TinyOS操作系统组建无线传感器采集网络,实时对空调房间内多点温湿度进行无线采集,并采用模糊推理方法,在线校正PID参数,解决了大空间结构的温度难以准确测量及所具有非线性、不确定性和时变性的控制问题。实验结果表明,该末端控制器数据采集准确,对控制系统多种复杂特性均具有良好的控制效果。
For the current shopping malls, railway stations and other large space VAV central air-conditioning terminal devices commonly used wired, single-point acquisition can not accurately characterize the overall space environment, and the end controller to control the problem of poor performance. Based on ARM9 and wireless sensor networks, a fuzzy PID control strategy is adopted to design and implement a central air-conditioning terminal intelligent controller which can collect temperature and humidity wirelessly and multi-point. The TinyOS operating system is used to set up a wireless sensor network to wirelessly collect temperature and humidity in air-conditioned rooms in real time. The fuzzy inference method is used to calibrate the PID parameters online to solve the problem that it is difficult to accurately measure the temperature of a large space structure and has nonlinearity , Uncertainty and time-varying control issues. The experimental results show that the data acquisition of the end controller is accurate and has good control effects on various complex features of the control system.