|本期目录/Table of Contents|

[1]惠增宏,张晨娟,张传侠.风洞侧壁边界层控制算法优化及仿真分析研究[J].工业仪表与自动化装置,2014,(05):1-7.
 HUI Zenghong,ZHANG Chenjuan,ZHANG Chuanxia.The wind tunnel sidewall boundary layer control algorithm optimization and simulation[J].Industrial Instrumentation & Automation,2014,(05):1-7.
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风洞侧壁边界层控制算法优化及仿真分析研究(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2014年05期
页码:
1-7
栏目:
出版日期:
2014-10-15

文章信息/Info

Title:
The wind tunnel sidewall boundary layer control algorithm optimization and simulation
作者:
惠增宏张晨娟张传侠
(西北工业大学 翼型叶栅空气动力学国家重点试验室,西安 710072)
Author(s):
HUI Zenghong ZHANG ChenjuanZHANG Chuanxia
National key Laboratory of Science and Technology on Aerodynamic Design and Research,Northwestern Polytechnical University, Xi’an 710072, China
关键词:
风洞边界层控制算法优化MATLAB软件仿真
Keywords:
wind tunnel boundary layer control algorithm optimization MATLAB simulation
分类号:
V211.752
DOI:
-
文献标志码:
A
摘要:
为提高风洞侧壁边界层控制系统性能,文中通过介绍NF-3大型低速翼型风洞多喷嘴级联吹气侧壁边界层控制系统的结构和原理,分析并优化侧壁边界层控制系统的控制算法,利用MATLAB软件实现了对优化前与优化后的控制算法的仿真,并对仿真结果进行了分析。仿真结果表明:神经网络自适应PSD控制算法可提高控制系统的稳定性,准确性和响应速度,在一定程度上能够减小阀门的时滞性和非线性对控制结果的影响。
Abstract:
In order to improve the performance of the sidewall boundary layer control system in wind tunnel, the structure and the application of multi-injector blowing sidewall boundary layer control system for NF-3 airfoil low-speed wind tunnel was described, the control algorithm was analyzed and optimized, the MATLAB software was applied to simulate and analyze the control algorithm that have been optimized and not, respectively. The results of simulation show that the neural network adaptive PSD control algorithm can improve the stability, accuracy and the response velocity of the control system, to a certain extent, can reduce the valve’s delay and nonlinear impact on the controlling results.

参考文献/References:

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备注/Memo

备注/Memo:
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更新日期/Last Update: 1900-01-01