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A genetic algorithm optimization for IMSC technique

机译:IMSC技术的遗传算法优化

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Independent modal control technique allows to change the eigenvalues of a system, without changing its eigenvectors. From a mechanical point of view, it means it is possible to modify the natural frequencies and the damping of a n-DoF system, letting modal shapes unchanged. Independent modal control can be profitably used in active vibration control increasing the damping of the system without changing its natural frequencies and vibration modes. A control of this type can improve the dynamic performance, reduce the vibratory phenomenon (and the resulting acoustic noise) and increase the fatigue strength of the system. This work demonstrates how the performance of the control depends on the number and position of sensors and actuators used besides, obviously, on the reduced model used to synthesize the control itself. The position of both sensors and actuators is optimized through genetic algorithm to reduce spillover effects due to unmodeled modes. Theoretical aspects are supported by numerical simulations.
机译:独立的模态控制技术允许更改系统的特征值,而无需更改其特征向量。从机械角度来看,这意味着可以修改n-DoF系统的固有频率和阻尼,而使模态形状保持不变。独立的模态控制可有益地用于主动振动控制中,以增加系统的阻尼,而无需更改其固有频率和振动模式。这种类型的控件可以改善动态性能,减少振动现象(以及由此产生的声音噪声),并提高系统的疲劳强度。这项工作演示了控件的性能如何取决于所使用的传感器和执行器的数量和位置,此外,显然还取决于用于合成控件本身的简化模型。传感器和执行器的位置均通过遗传算法进行了优化,以减少由于未建模模式而引起的溢出效应。理论方面得到数值模拟的支持。

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