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Optimization of control laws for damage detection in smart structures

机译:智能结构中损伤检测控制规律的优化

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A prevalient method of damage detection is based on identifying changes in modal characteristics due to damage induced variations in stiffness or mass along a structure. It is known that modal frequencies can be insensitive to damage, and the open-loop sensitivity itself depends on modal properties and damage location. Here, we develop methods of designing control laws that enhance the sensitivity of modal characteristics to damage. Sensitivity enhancing control exploits the relationship between control gains and closed-loop dynamics in order to increase the observability of damage. The design methods are based on optimization of cost functions that involve the dependence of classic measures of sensitivity on design variables, which include placement of sensors and actuators and state feedback control gains. Due to the size of the design space and the unknown nature of the ocst surface, genetic algorithms are used to find control laws designed for sensitivity enhancement of stiffness damage in a cantilevered beam are demonstrated by numerical simulation.
机译:损伤检测的普遍方法是基于识别由于沿着结构的刚度或质量的损伤变化而导致的模态特性的变化。众所周知,模态频率可能对损坏不敏感,并且开环敏感性本身取决于模态属性和损坏位置。在这里,我们开发设计控制法的方法,这些规则增强了模态特征对损坏的敏感性。灵敏度增强控制利用控制收益和闭环动态之间的关系,以增加损坏的可观察性。设计方法基于优化成本函数的优化,涉及经典措施对设计变量的敏感度的依赖性,包括放置传感器和致动器和状态反馈控制增益。由于设计空间的尺寸和OCST表面的未知性,遗传算法用于找到设计用于悬臂中刚度损坏的灵敏度的控制规律,通过数值模拟证明了悬臂梁中的刚度损坏。

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