节点文献
基于神经网络的变频空调控制系统
Control Method of Inverter Air Conditioner Based on Neural Network
【摘要】 基于神经网络的变频控制空调可以根据实际环境与室内需求的不同,连续地、动态地、适时地按需要输出,改进了一般定速空调器在实际应用中室内机的输出滞后于压缩机,而室内空气参数的滞后则更大的不足。采用了神经网络的误差反传(BP)算法,可以快速、准确的对从实际环境中获得的数据进行综合、分析,得出正确的结论,从而通过控制单元调节压缩机、风机和电子膨胀阀,使其根据现状迅速地做出反应,达到智能控制的效果,具有先进性、经济性、和实用性。
【Abstract】 A kind of fuzzy controlled inverter air conditioner can export successively,dynamically and timely according to the difference of actual environment and indoors need.Improved the shortage of normal on/off controlled air conditioner that the output of indoor machine lags after compressor,however,the lag of indoor air parameter is more.This article adopts error back propagation(BP) of neural network which can quickly and exactly synthesize and analyze data from actual environment to make so accurate conclusion that helps to control the compressor,wind engine and electronic dilatometer with frequency conversion to control intelligently.This method is advanced,economic and practical.
- 【文献出处】 计算机测量与控制 ,Computer Measurement & Control , 编辑部邮箱 ,2006年08期
- 【分类号】TM925.12
- 【被引频次】17
- 【下载频次】307