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Optimal sensor-controller-actuator configuration for active vibration and shape control - Experimental and numerical results for a ribbed plate

机译:用于主动振动和形状控制的最佳传感器 - 控制器 - 致动器配置 - 罗纹板的实验性和数值效果

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摘要

For optimizing the dynamic behaviour of a mechanical system and improving its shape stability, it is first necessary to develop a sufficiently exact model of the system, This results in a "computation model" using analytical means which, however,is still inaccurate since the boundary and interface conditions are not sufficiently known. The result of experimental identification is a measure model" which is more realistic but has the disadvantage that system behaviour is described precisely only at the measurement points in the respective measuring direction. An optimum model" is obtained from combining measurement and computation. This is the basis for system modifications such as design changes and the usage of passive damper elements. Theapplication of active correcting elements for the vibration and shape influence has been increasingly under investigation. Adaptive qualities of the mechanical systems should be achieved by inclusion of suitable control algorithms.In the A{sub}(DAMES) project, a ribbed plate of cast aluminium is used as a test structure for modelling, optimization and identification. It is the aim of the investigations to influence the plate's dynamic behaviour and its shape stability bypurposefully integrating discrete piezoactuators.Results of identification and computation of the passive mechanical structure under different boundary conditions are presented. Starting with the finite element model derived from the measuring and computation models of the plate. Procedures are examined to determine both the optimum number and position of the actuators and the optimum controller parameter. First, the applicability of the actuators and sensors used are demonstrated for a selected control algorithm in simulations. Some results ofexperimental investigations of the static and dynamic behaviour of the ribbed plate are presented for the case of active influence and are compared with the simulated values.
机译:为了优化机械系统的动态行为并提高其形状稳定性,首先是开发系统的足够精确的模型,这导致使用分析方法的“计算模型”,然而由于边界以来仍然不准确并且界面条件没有足够已知。实验识别的结果是一个测量模型“,其更加真实,但具有缺点,即系统行为仅在相应测量方向上的测量点处精确描述。获得最佳模型”从组合测量和计算获得。这是系统修改的基础,例如设计变化和被动阻尼元件的使用。振动和形状影响的主动校正元件的挖掘已经越来越受到调查。通过包含合适的控制算法,应通过包含合适的控制算法来实现机械系统的自适应品质。在{sub}(dames)项目中,铸铝的罗纹板用作建模,优化和识别的测试结构。目的是影响板块的动态行为及其形状稳定性,并且呈现了离散压电耦合器的形状稳定性。提出了不同边界条件下的被动机械结构的识别和计算。从源自板的测量和计算模型导出的有限元模型开始。检查程序以确定执行器的最佳数量和位置和最佳控制器参数。首先,用于模拟中所选控制算法的致动器和传感器的适用性。罗纹板的静态和动态行为的一些结果用于主动影响的情况,并与模拟值进行比较。

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