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电子膨胀阀调节蒸发器过热度的控制算法
引用本文:陈文勇,陈芝久,朱瑞琪,吴业正.电子膨胀阀调节蒸发器过热度的控制算法[J].上海交通大学学报,2001,35(8):1228-1232.
作者姓名:陈文勇  陈芝久  朱瑞琪  吴业正
作者单位:1. 上海交通大学制冷与低温工程研究所,
2. 西安交通大学制冷与低温工程研究所,
摘    要:将遗传算法引入蒸发器过热度的模糊控制中,对确定优化目标、选择优化参数、遗传算法的编码、产生初始样本群、求适与值、繁殖、交叉、变异、选择运算、获得优化参数等问题进行了研究;对比了遗传算法优化的模糊控制与PI控制的效果。遗传算法引入模糊控制,解决了蒸发器过热度控制中,只能依赖人的经验调速隶导度函数的难题,从而简化了模糊控制设计的过程;模糊控制与PI控制相比,过热度调节过程稍慢,但比较平稳,过热度控制精度较高。

关 键 词:电子膨胀阀  过热度  模糊控制  遗传算法  蒸发器  隶属度函数  制冷系统
文章编号:1006-2467(2001)08-1228-05
修稿时间:2000年11月7日

Control Algorithm of Electronic Expansion Valve in Evaporator Superheat Regulation
CHEN Wen yong ,CHEN Zhi jiu ,ZHU Rui qi ,WU Ye zheng.Control Algorithm of Electronic Expansion Valve in Evaporator Superheat Regulation[J].Journal of Shanghai Jiaotong University,2001,35(8):1228-1232.
Authors:CHEN Wen yong  CHEN Zhi jiu  ZHU Rui qi  WU Ye zheng
Institution:CHEN Wen yong 1,CHEN Zhi jiu 1,ZHU Rui qi 2,WU Ye zheng 2
Abstract:Genetic algorithm was introduced to optimizing the membership functions of evaporator superheat fuzzy control. The problems of deciding the optimization object, selecting optimization parameters, genetic algorithm coding, etc, were studied. Comparison between the genetic optimized fuzzy control and PI control was made. By introducing the genetic algorithm, the problem that the membership function of fuzzy control can only be regulated by depending on people's experience was solved in the evaporator superheat temperature control. It simplifies the design process of fuzzy control on the evaporator superheat temperature. Compared with PI control, the fuzzy control is more stable and accurate in regulating superheat temperature although its speed is slightly slow.
Keywords:electronic expansion valve  superheat  fuzzy control  genetic algorithm
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