基于Smith预估模型+模糊PID的地铁列车空调控制  

Subway Air Conditioning System Control Based on Smith Prediction Model and Fuzzy PID

作　　者：刘晴 李鸿[1] Liu Qing

机构地区：[1]长沙理工大学电气与信息工程学院

出　　处：《工业控制计算机》2019年第11期95-96,共2页Industrial Control Computer

摘　　要：地铁出行已成为缓解城市交通压力的主要出行方式,为提高人们的出行舒适度,针对地铁列车空调控制系统大滞后、非线性的特点,结合模糊控制、PID控制和Smith预估控制,通过模糊理论实现PID的参数自整定,同时针对大滞后的控制对象,加入Smith预估控制,提高控制效果。利用Simulink建立仿真模型,针对设计进行了仿真实验。结果表明,与固定参数的PID和模糊PID控制相比,提出的控制方案在超调和调节时间上都更优秀,且具有良好的鲁棒性,具有更好地控制效果。Subway has become the main way of travel to relieve urban traffic pressure.In order to improve people's travel comfort,this paper combines fuzzy control,PID control and Smith prediction control focused on the characteristics of large lag and nonlinear of subway train air conditioning control system.The parameters of PID are realized through fuzzy theory.Meanwhile,for the control object with large lag,Smith estimates control is used to improve the control effect.Simulink is used to complete the simulation model of this paper.The results show that,compared with PID with fixed parameters and single fuzzy control,the control scheme proposed in this paper is better in terms of overharmonic adjustment time and has good robustness.It has better control performance.

关 键 词：地铁列车 空调系统 模糊PID控制 SMITH预估控制 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]