摘要
考虑尾支杆结构低频振动特性,研究了基于自适应算法的风洞尾支杆振动主动控制方法。在分析尾支杆结构特性,建立有限元模型,提取相应参数矩阵建立系统数学模型的基础上,基于DC增益模态排序方法对模型进行降阶,得到了只含尾支杆俯仰方向上一阶弯曲和二阶弯曲模态的模型;结合模型参考自适应控制方法能够快速预测误差方向的优点,设计了适用于尾支杆结构振动的主动抑振系统,并通过Lyapunov方法证明了控制系统的稳定性。仿真结果表明:基于DC增益排序方法缩减模型能够准确表征实际结构的动态特性,提高分析效率,所设计控制器使得风洞尾支杆结构俯仰振动幅值比原振动幅值降低了88%。
Considering the low natural frequency of sting support, active vibration control for wind tunnel model with sting support based on adaptive algorithm is studied. Finite element model is established, and parameter matrix is extracted to established mathematical model. Based on DC gain of modal ranking method, the model is reduced to lower modes model which contained the first two pitching modal. Combined with model reference adaptive control method, active vibration control system for sting support is established, and the stability of controlled system is verified by Lyapunov criterions. Simulation results show that the effectiveness of reduction model based on DC gains ranking and the amplitude is reduced by 88% compared to original vibration amplitude.
作者
赵寿根
何玉金
李东海
李涛
Zhao Shougen;He Yujin;Li Donghai;Li Tao(School of Aeronautic Science and Engineering,Beihang University,100083,Beijing,China)
出处
《应用力学学报》
CAS
CSCD
北大核心
2020年第4期1450-1458,I0005,共10页
Chinese Journal of Applied Mechanics
基金
北京市科学技术委员会资助项目(191100004619006)。
关键词
风洞尾支杆
低频振动
模型缩减
DC增益
模型参考自适应控制
主动控制
wind tunnel model with sting support
low-frequency vibration
model reduction
DC gain
model reference adaptive control
active control
