基于模糊神经网络的大型制冷控制系统的设计  

The large-scale refrigerating control design based on fuzzy neural network

作　　者：蒋文胜[1] 

机构地区：[1]柳州职业技术学院,柳州545006

出　　处：《低温与超导》2014年第4期89-92,共4页Cryogenics and Superconductivity

基　　金：2013年广西教育厅科研项目:制冷设备状态监测与故障诊断系统设计(2013YB354)

摘　　要：针对大型制冷控制系统中影响制冷效果的因素众多,需要进行控制的参数也很多,提出了基于模糊神经网络的大型制冷控制系统的设计方案。详细分析了基于模糊神经网络的设计原理,给出了模糊神经网络的构造过程和实际训练得到的神经网络控制参数;提出了大型制冷控制系统设计方案,论述了该控制系统中各功能模块和组成结构。最后进行了仿真与测试,采用传统的控制方案与基于模糊神经网络的控制方案进行对比,结果表明本文设计的控制方案在响应速度、抗阶跃信号等方面均有较优的表现。Lots of factors have an influence on refrigerating effect of large - scale refrigerating control system, so the design of large - scale refrigerating control system need many control parameters, according to fuzzy neural network. This paper designed a large - scale refrigerating control scheme. At first, it analyzed the design principle of fuzzy neural network and set the network control parameters according to the formation process and practical application of fuzzy network. Then, it put forward the design scheme of large - scale refrigerating control system, discussed every functional modules and the composition structure. In the end, the simulation test compared the traditional control scheme and the fuzzy network control scheme. The results indicated that the designed control scheme had a better performance in respond speed and anti - step signal.

关 键 词：制冷控制 模糊神经网络 参数 组成结构 仿真 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]