风洞模型支撑系统振动主动控制试验研究  

ACTIVE VIBRATION CONTROL EXPERIMENTAL INVESTIGATION ON WIND TUNNEL MODEL SUPPORT SYSTEM

作　　者：麻越垠[1] 陈万华[1] 王元兴[1] 聂旭涛[1] 

机构地区：[1]中国空气动力研究与发展中心,绵阳621000

出　　处：《机械强度》2015年第2期232-236,共5页Journal of Mechanical Strength

基　　金：空气动力学国家重点实验室基金(SKLA2009A0103)资助~~

摘　　要：风洞试验中,在非定常气动载荷激励下,模型支撑系统会出现振动,较大量级的振动会制约试验安全和测量精度。为解决风洞试验中模型支撑系统的振动问题,在模型支撑系统支杆尾部安装压电智能结构,配合PID和神经网络算法,实现对模型支撑系统振动的主动控制。为验证上述结构的振动主动控制效果,在某风洞中,使用LMS Test.Lab动态信号采集分析系统对安装压电智能结构的模型支撑系统开展模态试验和风洞试验研究。试验结果表明:(1)风洞试验中,模型支撑系统振动以一阶和二阶振动为主,随着风速增大,二阶加速度与一阶加速度振幅比增加;(2)PID算法可以实现试验各工况的振动控制,但控制效果不稳定;具有自适应性的神经网络算法在控制中不收敛,振动出现发散。(3)以振动加速度有效值为考察依据,对于一阶振型,PID算法减振幅度约为92.94%,神经网络算法减振幅度约为83.89%;对于二阶振型,PID算法减振幅度约为68.65%,神经网络算法不收敛,振动出现发散。Air unsteady flow in wind tunnel test usually results in vibration of model support system, and large vibration can influence the accuracy and reliability of wind tunnel test. To solve the vibration problem, piezoelectric structure with control program is applied to model support system to achieve active vibration control. To verify the damping effect of the structure above, LMS Test. Lab is used in mode test and wind tunnel test on model support system with piezoelectric structure. The test results show： （1） the first mode and the second mode take great parts of the vibration, and the amplitude ratio of the second mode to the first mode increases along with wind speed rising; （2） PID arithmetic can achieve active vibration control on kinds of work condition in test, but the control effect in not unsteady. Neural networks arithmetic causes the vibration expanding because of its non-convergence. （3） Take vibration acceleration RMS as criterion, the damping amplitude of PID arithmetic and neural networks arithmetic are 92. 94% and 83.89% for the first mode, and the damping amplitude of PID arithmetic is 68.65% for the second mode, Neural networks arithmetic will not converge for the second mode as the vibration amplitude is magnified.

关 键 词：模型支撑系统 振动主动控制 模态试验 风洞试验 

分 类 号：V211[航空宇航科学与技术—航空宇航推进理论与工程]