基于PSDNN神经网络的稳风速控制系统的分析与应用  

Analysis and Application of Wind Velocity Control System Based on PSDNN Neural Network

作　　者：辛颖[1] 易晖[1] 

机构地区：[1]中国直升机设计研究所,江西景德镇333001

出　　处：《直升机技术》2015年第4期16-19,共4页Helicopter Technique

摘　　要：介绍采用多点静压落差法测量风洞试验段的风速,并对其特点进行说明;针对低速直流式风洞稳风速控制困难,易受外部环境影响的问题,提出了一种多层前向神经元网络PSDNN。PSDNN神经网络的风洞稳风速控制系统不仅保留了原来的控制系统,同时还提高了稳风速控制的精度,为得到更好的试验数据提供保障。This paper introduced multi -point static pressure method to measure wind velocity of wind tunnel, and described the characters. Due to the difficulties of wind speed control for low speed lineal wind tunnel low and influence of external environment, a muhilayer previous neural net- work PSDNN was presented. The system was not only remain conventional control system, but also had higher precision, then this method ensured getting better test data.

关 键 词：PSDNN神经网络 稳风速控制系统 多点静压落差法 

分 类 号：V211.74[航空宇航科学与技术—航空宇航推进理论与工程]