地面颤振试验系统气动插值点优化配置方法研究  被引量:2

Sensor and shaker locations optimization of the ground flutter test system

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作  者:黎伟明[1] 宋巧治 刘继军[1] LI Weiming;SONG Qiaozhi;LIU Jijun(The Second Department,Aircraft Strength Research Institute of China,710065 Xi'an,China)

机构地区:[1]中国飞机强度研究所第二研究室,西安710065

出  处:《应用力学学报》2022年第3期445-451,共7页Chinese Journal of Applied Mechanics

基  金:工业和信息化部民用飞机专项科研资助项目(No.MJ-2017-F15)。

摘  要:地面颤振试验(ground flutter test,GFT)系统采用少量激振器模拟连续分布气动力,为实现气动插值点的缩聚,推导了地面颤振试验系统的控制方程,对比了GFT系统和原颤振系统控制方程在广义力项区别,定义了激/测振点位置优化的目标函数;为了提高插值精度,充分利用结构振动已知信息,提出了虚拟激/测振点技术;采用分群粒子群算法兼顾局部寻优和全局寻优,搭建优化流程,对插值点进行优化配置。基于平板机翼开展了GFT系统激/测振点位置优化计算,构建了地面集中气动力并进行了颤振特性测试试验。试验结果表明,本研究提出的方法精度较高,满足地面颤振试验的需求。The ground flutter test(GFT)system is the testing equipment which simulates the continuously distributed aerodynamic force with a small number of shakers.To realize the polycondensation of aerodynamic-force interpolating point,the GFT’s control equation is derived and the generalized-aerodynamic-force difference between the GFT system and the original flutter system is showed.Based on the equivalence of generalized aerodynamic force,the objective function about sensor and shaker locations optimization is defined.The method proposed to improve the interpolation accuracy of the mode of vibration is named virtual sensor-shaker technology.Multi-Swarm Particle Swarm Optimization Algorithm(MSPSO)is used to establish the optimization process,which has a good performance to moderate the contradiction of global searching ability and local searching ability.The GFT about a plate wing case was carried out,in which the sensor and shaker locations were optimized with the method proposed in this paper.The test results verified that the accuracy of the optimization method is high enough for the GFT.

关 键 词:气动弹性 地面颤振试验 广义气动力 激振点 优化方法 

分 类 号:V215[航空宇航科学与技术—航空宇航推进理论与工程]

 

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