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首页> 外文期刊>Journal of Sound and Vibration >Vibration control of piezoelectric smart structures based on system identification technique: Numerical simulation and experimental study
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Vibration control of piezoelectric smart structures based on system identification technique: Numerical simulation and experimental study

机译：基于系统识别技术的压电智能结构振动控制：数值模拟与实验研究

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The aim of this study is to investigate the efficiency of a system identification technique known as observer/Kalman filter identification (OKID) technique in the numerical simulation and experimental study of active vibration control of piezoelectric smart structures. Based on the structure responses determined by finite element method, an explicit state space model of the equivalent linear system is developed by employing OKID approach. The linear quadratic Gaussian (LQG) algorithm is employed for controller design. The control law is then incorporated into the ANSYS finite element model to perform closed loop simulations. Therefore, the control law performance can be evaluated in the context of a finite element environment. Furthermore, a complete active vibration control system comprising the cantilever plate, the piezoelectric actuators, the accelerometers and the digital signal processor (DSP) board is set up to conduct the experimental investigation. A state space model characterizing the dynamics of the physical system is developed from experimental results using OKID approach for the purpose of control law design. The controller is then implemented by using a floating point TMS320VC33 DSP. Numerical examples by employing the proposed numerical simulation method, together with the experimental results obtained by using the active vibration control system, have demonstrated the validity and efficiency of OKID method in application of active vibration control of piezoelectric smart structures. (c) 2006 Elsevier Ltd. All rights reserved.
机译：这项研究的目的是研究被称为观察者/卡尔曼滤波器识别（OKID）技术的系统识别技术在压电智能结构主动振动控制的数值模拟和实验研究中的效率。基于有限元确定的结构响应，采用OKID方法建立了等效线性系统的显式状态空间模型。线性二次高斯（LQG）算法用于控制器设计。然后将控制定律整合到ANSYS有限元模型中，以执行闭环仿真。因此，可以在有限元环境中评估控制律性能。此外，建立了包括悬臂板，压电致动器，加速度计和数字信号处理器（DSP）板的完整的主动振动控制系统，以进行实验研究。为了控制定律的设计，使用OKID方法从实验结果中得出了表征物理系统动力学的状态空间模型。然后，通过使用浮点TMS320VC33 DSP来实现控制器。通过所提出的数值模拟方法的数值例子，以及使用主动振动控制系统获得的实验结果，证明了OKID方法在压电智能结构主动振动控制中的有效性和有效性。 （c）2006 Elsevier Ltd.保留所有权利。

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