基于PID控制器和无线通信技术的热泵测控系统设计

Design of Heat-pump Measurement and Control System Using PID and Wireless Communication

摘要:

热泵系统广泛应用于供暖领域,为了实现更高效的热泵系统控制,需要设计更智能的测控系统。基于此,研究对空气能热泵测控系统进行了总体方案设计,接着引入了模糊控制与Smith预估补偿控制策略对比例-积分-微分控制器(Proportion Integration Differentiation,PID)进行优化。在信息系统设计中,采用了消息队列遥测传输(Message Queuing Telemetry Transport,MQTT)作为通信代理协议。结果显示,当PID控制器在1050s时受到正弦干扰后,其温度迅速提升至34.8℃,160s后温度下降至24.7℃,320s后回升至设定温度。当模糊PID控制器受到正弦干扰后,其温度在短时间内迅速提升,随后在70s后跌至24.6℃,510s后才达到设定温度。而结合了Smith的模糊PID控制器在1250s时跌至温度最低值,且其在1510s时便达到设定的温度值。总的来说,研究设计的热泵测控系统在温度控制与系统运行方面均具有较强的鲁棒性与可行性,为现代热泵系统的智能化控制提供了一种有效的方法。

Abstract:

Heat pump systems are widely used in the heating field. In order to achieve more efficient control of heat pump systems, it is necessary to design more intelligent measurement and control systems. Based on this, the overall scheme design of the air energy heat pump measurement and control system was studied, and then fuzzy control and Smith predictive compensation control strategies were introduced to optimize the Proportional Integration Difference (PID) controller. In the design of information systems, Message Queuing Telemetry Transport (MQTT) is used as the communication proxy protocol. The results showed that when the PID controller was subjected to sinusoidal interference at 1050s, its temperature rapidly increased to 34.8 ℃, decreased to 24.7 ℃ after 160s, and returned to the set temperature after 320s. When the fuzzy PID controller is subjected to sinusoidal interference, its temperature rapidly increases in a short period of time, then drops to 24.6 ℃ after 70 seconds, and reaches the set temperature after 510 seconds. The fuzzy PID controller combined with Smith dropped to the lowest temperature value at 1250s and reached the set temperature value at 1510s. Overall, the research and design of the heat pump measurement and control system have strong robustness and feasibility in temperature control and system operation, providing an effective method for the intelligent control of modern heat pump systems.