摘要
针对汽车空调系统的温度控制的应用,提出了一个基于神经网络的温度控制系统。通过对汽车空调系统的组成结构研究,分别对汽车空调系统中的压缩机、管孔工质流、冷凝器等各主要组成部分建模,在此基础上,建立了空调控制系统的工作模型,给出了空调控制系统中热力循环关系式。为提高空调控制系统的控制性能,提出了基于神经网络的温度控制系统设计原理和实现方案。
Given the temperature control applications for automotive air-conditioning systems, this paper put forward a temperature control system based on neural network. At first, it has studied the structure of automotive air-conditioning system; and respectively, modeled the major part of the automotive air condi- tioning system of the compressor, hole working stream, condenser, etc. On this basis, it has established a working model of the air-conditioning control system, found out the relationship of the thermodynamic cycle air-conditioning control system. In order to improve the control performance, it put forward a tem- perature control system based on neural network design principles and implementation. The simulation test results show that this automotive air-conditioning system is better than the system based on fuzzy PID control principle.
出处
《柳州职业技术学院学报》
2013年第3期47-50,共4页
Journal of Liuzhou Vocational & Technical College
关键词
汽车空调
神经网络
温度控制
模型
仿真与测试
automotive air-conditioning, neural network, temperature control, model, simulation
