时域辨识在垂尾智能结构控制系统中的应用  

Time Series Based Identification in Vertical Tail Piezoelectric Smart Structure Control System

作　　者：吴志华[1] 徐志伟[1] 

机构地区：[1]南京航空航天大学智能材料与结构航空科技重点实验室,南京210016

出　　处：《振动．测试与诊断》2008年第1期66-68,共3页Journal of Vibration,Measurement & Diagnosis

摘　　要：采用时间序列建模法对1:2垂尾模型智能结构振动控制系统进行试验建模,应用最小二乘法建立了系统的ARX模型,并与其他方法进行比较和验证。试验结果表明,最小二乘法具有较高的辨识精度,适用于垂尾模型这种结构,此方法对结构的复杂程度依赖较弱,所建模型可靠。The buffeting loads result in significant random stresses,which may cause fatigue damage leading to restricted capabilities and availability of the aircraft.In this paper,a time series modeling method was employed to model the one half scale vertical tail piezoelectric smart structure vibration control system.Least Square identification method was used to identify ARX model of the system.Another System Identification method was compared with the method used.Effectiveness of the method was verified by the experimental result.

关 键 词：垂尾压电结构 时域辨识建模 最小二乘法 振动主动控制 

分 类 号：O231.3[理学—运筹学与控制论]