APPROACHES TO SENSITIVITY ANALYSIS FOR SYSTEM RELIABILITY STUDY OF SMART STRUCTURES FOR ACTIVE VIBRATION REDUCTION
APPROACHES TO SENSITIVITY ANALYSIS FOR SYSTEM RELIABILITY STUDY OF SMART STRUCTURES FOR ACTIVE VIBRATION REDUCTION
复制标题
主动减振智能结构系统可靠性研究的灵敏度分析方法
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
H. Hanselka
中科院分区：
文献类型：
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作者：
Ying;T. Pfeiffer;J. Nuffer;Joachim Bös;H. Hanselka
现代工程产品必须满足对部件和系统的振动声学行为日益增长的要求。对于汽车工程等需要轻量化设计的许多应用来说，降噪和减振的被动措施已经达到了一定的极限。因此，结构减振的主动技术在该应用领域变得越来越重要。通常，主动或自适应控制的结构系统由大量具有各种功能的组件组成。随着系统复杂性的增加，可靠性和鲁棒性研究变得更加复杂。了解参数效应及其相互作用对于此类系统的可靠性研究和设计优化非常重要。灵敏度分析可以帮助系统设计人员了解系统组件之间的相互作用，并识别对系统性能具有重大总体影响的重要参数。在本文中，几种灵敏度分析方法应用于具有主动振动控制的智能结构系统。通过这些分析，研究了系统参数和控制算法对主动减振性能的影响。将展示通过使用自适应控制来提高主动系统的鲁棒性。
The modern engineering products must fulfill the increasing requirements to the vibroacoustical behavior of the components and the system. For many applications such as automotive engineering, where light-weight design is desired, passive measures for noise and vibration reduction have reached certain limits. For this reason, active techniques for structural vibration reduction are becoming increasingly important in this field of applications. Commonly, actively or adaptively controlled structural systems consist of a large number of components with various functionalities. As the complexity of the systems increases, reliability and robustness studies become a more complicated task. The knowledge of parameter effects and their interactions is important for the reliability study and the design optimization of such systems. Sensitivity analysis can help the system designers to understand interactions between the system components and identify the important parameters with significant overall influences on the system performance. In this paper, several approaches to sensitivity analysis are applied for a smart structure system with active vibration control. Through these analyses, the influences of the system parameters and control algorithms on the performance of active vibration reduction are investigated. An improvement of the robustness of the active system by using adaptive control will be shown.