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Optimal placement of piezoelectric actuators and sensors on a smart beam and a smart plate using multi-objective genetic algorithm

机译:使用多目标遗传算法的压电致动器和传感器在智能梁和智能板上的最佳放置

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摘要

In this paper a method of fmding optimal positions for piezoelectric actuators and sensors on different structures is presented. The genetic algorithm and multi-objective genetic algorithm are selected for optimization and H-infinity norm is defined as a cost function for the optimization process. To optimize the placement concerning the selected modes simultaneously, the multi-objective genetic algorithm is used. The optimization is investigated for two different structures: a cantilever beam and a simply supported plate. Vibrating structures are controlled in a closed loop with feedback gains, which are obtained using optimal LQ control strategy. Finally, output of a structure with optimized placement is compared with the output of the structure with an arbitrary, non-optimal placement of piezoelectric patches.
机译:本文提出了一种在不同结构上寻找压电致动器和传感器最佳位置的方法。选择遗传算法和多目标遗传算法进行优化,并将H-无穷范数定义为优化过程的成本函数。为了同时优化与所选模式有关的布局,使用了多目标遗传算法。研究了两种不同结构的优化:悬臂梁和简单支撑的板。使用反馈增益在闭环中控制振动结构,该反馈增益是使用最佳LQ控制策略获得的。最后,将具有优化布局的结构的输出与具有压电贴片的任意非最佳布局的结构的输出进行比较。

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