摘要
汽车空调系统作为汽车的重要组成部分,能为用户提供舒适的驾乘环境。其控制系统的设计和优化直接关系到空调系统整体性能的优劣。首先,针对汽车空调系统的热负荷,在MATLAB中搭建仿真模型。然后,为汽车空调系统设计了常规比例积分微分(PID)控制器和模糊PID控制器,分别进行仿真试验,探讨其控制效果。最后,将两种控制器进行对比分析,证实了模糊PID控制器能使汽车空调系统具有更优良的控制品质和更高的鲁棒性。该设计为提高汽车空调的舒适性提供了可行方案。
As an important part of automobile,the air conditioning system can provide comfortable driving environment for users.Its design and optimization of control system directly related to the overall performance of the air conditioning system.Firstly,a simulation model for the thermal load of the automobile air conditioning system is built in MATLAB.Then,conventional proportional integral differential(PID)controller and fuzzy PID controller are designed for the automotive air conditioning system,and their control performances are discussed through respective simulation experiments.Finally,through comparative analysis of two controllers,it is proven that fuzzy PID controller can provide the automotive air conditioning system with better control quality and higher robustness.The design provides a possible solution to improve the comfort of automobile air conditioning.
作者
杨萍萍
马亮
YANG Pingping;MA Liang(School of Advanced Engineering,University of Science and Technology Beijing,Beijing 100083,China;Shunde Graduate School,University of Science and Technology Beijing,Foshan 528399,China;School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China)
出处
《自动化仪表》
CAS
2021年第9期39-44,共6页
Process Automation Instrumentation
基金
广东省基础与应用基础研究基金资助项目(2019A1515110991)
中国博士后科学基金资助项目(2019M660464)
中央高校基本科研业务费专项基金资助项目(FRF-TP-19-049A1Z)
北京科技大学顺德研究生院博士后科研经费基金资助项目(2020BH003)。
关键词
模糊比例积分微分(PID)
控制器
热负荷
汽车空调
隶属度函数
模糊化
控制品质
Fuzzy proportional integral differential(PID)
Controller
Thermal load
Automotive air conditioning
Membership function
Fuzzification
Control quality
