Blades are important components of an aeroengine.and the flow characteristics of blades are related to the working performance and safety of the engine.A kind of blade was taken as a research object.Its flow test system was designed, taking into account the structure specialty and the working principle of the test system.A PLC control system,combining a genetic algorithm with the PID control method was proposed to ensure the stability of the test system and measurement results.From the simulation results,it is shown the PID control with the genetic algorithm has obvious advantages over traditional PID controls in the aspect of optimizing efficiency.The PID control method based on genetic algorithm improves the accuracy of blade flow detection by 0.17% and it is attested by experiments that the measurement repeatability reaches 100%.
XIE Miao HUANG YaXing LU JinNan LI HaiChao ZHAO ZeHua.
Method and experiment for the water flow detection of aero-engine blades[J]. Journal of Vibration and Shock, 2018, 37(22): 263-268
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参考文献
[1]张宝峰. 航空发动机叶片测量现状及新方法分析[J]. 科技创新导报,2016,13(20):14+16.
ZHANG Baofeng. Study on Status and New Method of Aeroengine Blade Measurement [J]. Science and Technology Innovation Bulletin, 2016,13 (20): 14 + 16.
[2]肖红,李鹏,周敏. 航空涡轮叶片水流量检测技术[J]. 科技创新导报,2013,(15):44-46+48.
XIAO Hong, LI Peng, ZHOU Min. Flow Detection Technology of Aero-Turbine Blade [J]. Science and Technology Innovation, 2013,(15):44-46+48.
[3]蔡文波,李钊. 航空发动机高导叶片水流量测试系统改进研究[J].计测技术,2015,35(04):50-53.
CAI WenBO, LI Zhao. Research on Improving Testing System for the Water Flow of Aero engine High-pressure Turbine Guide-vanes[J]. Measurement Technology, 2015, 35 (04): 50-53.
[4]袁红会,姚晓颖,姜雷. 某型机叶片水流量控制系统的开发和应用[J]. 机械制造与自动化,2015,44(02):188-191.
YUAN HongHui, YAO XiaoYing, JIANG Lei. DeveloPment and APPlication of Flow Rate Controlling System of Areo Engine Blade [J]. Mechanical Manufacturing and Automation, 2015, 44 (02): 188-191.
[5]赵利平,郭继保. 基于遗传算法控制的电液伺服系统试验研究[J]. 振动.测试与诊断,2011,31(06).
ZHAO Liping, GUO Jibao.Study on Electro-hydraulic Servo System Control Based on Genetic Algorithm [J]. Vibration. Measurement and Diagnosis 2011,31(06).
[6]蔡晴. 基于静态质量法水流量标准装置的设计[D].中国计量学院,2015.
CAI Qing. Design of water flow standard device based on static mass method [D]. China Journal of Metrology, 2015.
[7]牛江川,申永军,杨绍普,李素娟. 分数阶PID控制对单自由度线性振子的影响[J]. 振动与冲击,2016,35(24):88-95.
NIU Jiangchuan, SHEN Yongjun, YANG Shaopu, LI Sujuan. Effects of fractional-order PID control on single-degree-of-freedom linear vibrators [J]. Journal of Vibration and Shock, 2016,35 (24): 88-95.
[8]张炳兰. 改进遗传算法PID在电液伺服系统的应用[J]. 自动化仪表,2017,38(08):28-32.
ZHANG Binglan. Application of Improved Genetic Algorithm PID in Electro-hydraulic Servo System [J]. Automation Instrumentation, 2017, 38 (08): 28-32.
[9]覃柏英,林贤坤,张令弥,郭勤涛. 基于整数编码遗传算法的传感器优化配置研究[J]. 振动与冲击,2011,30(02):252-257.
QIN Baiying, LIN Xiankun, ZHANG Lingmi, GUO Qintao. Study on Sensor Optimal Configuration Based on Integer Coding Genetic Algorithm [J]. Journal of Vibration and Shock, 2011,30 (02): 252-257.
[10]庄进,祁伟,樊志新. 基于遗传算法PID的双轴连续挤压包覆机速度控制[J]. 大连交通大学学报,2016,37(04):96-99.
ZHAO Jin, QI Wei, FAN Zhixin. Velocity Control of Biaxial Continuous Extrusion Coating Machine Based on Genetic Algorithm [J]. Journal of Dalian Jiaotong University, 2016,37 (04): 96-99.
[11]张巍,卢宇清. 基于在线自适应遗传算法的PID参数整定和优化[J]. 计算机仿真,2011,28(12):154-157.
ZHANG Wei, LU Yuqing. Methods and Optimization of PID Parameters Based on Online Adaptive Genetic Algorithm [J]. Computer Simulation, 2011,28 (12): 154-157.
[12]吴立华,白洁,左亚军,谭国所,刘永福,李克天. 基于Matlab的遗传算法在结构优化设计中的应用[J]. 机电工程技术,2017,(10):44-47.
WU Lihua, BAI Jie, ZUO Yajun, TAN Guosuo, LIU Yongfu, LI Ketian. Application of genetic algorithm based on Matlab in structural optimizationdesign [J]. Electrical and Mechanical Engineering Technology, 2017, (10): 44-47.
[13]刘乃军,牛军川. 基于自适应遗传算法弹簧刚度优化的可调频多维减振平台设计[J]. 振动与冲击,2017,36(13):161-165.
LIU Naijun, NIU Junchuan. Design of variable frequency multi-dimensional damping platform based on adaptive genetic algorithm spring stiffness optimization [J]. Vibration and Shock, 2017,36 (13): 161-165.
[14]刘金琨. 先进PID控制Matlab仿真[M]. 北京:电子工业出版社,2007:162-164.
LIU JinKun Advanced Pid Control Matlab Simulation [M].Beijing. Electronic Industry Press.2007:162-164.
[15]赵亮,付兴武,徐广明. 基于遗传算法的PID控制及其MATLAB仿真[J]. 微计算机信息,2004,(05):19-20.
Zhao Liang, Fu Xingwu, Xu Guangming. PID control based on genetic algorithm and its MATLAB simulation [J]. Microcomputer Information, 2004, (05): 19-20.