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Multi-objective optimization of piezo actuator placement and sizing using genetic algorithm

机译:基于遗传算法的压电执行器布置和尺寸多目标优化

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摘要

Sizing and placement of piezoelectric sensors and actuators (S/As) for active vibration control of flexible structures is commonly based on maximum control effectiveness. Mounting of piezos changes the natural frequencies of existing structure, which would have been designed to have a certain natural frequency spectrum in relation to the disturbance excitation. In the event of failure of the active system, natural frequencies of the structure with piezos (now rendered passive) become significant. Therefore minimal change in natural frequency along with good controllability should be design consideration while deciding sizing and placement of actuators. Multi-objective genetic algorithm is shown to be useful for optimization of placement and sizing of piezo actuators for such problems. Optimal S/As sizing and locations have been found out for stationary and rotating cantilever beams with multiple sensors/actuators.
机译:用于主动控制柔性结构的压电传感器和执行器(S / As)的尺寸和位置通常基于最大的控制效果。压电体的安装会改变现有结构的固有频率,将其设计为具有与干扰激励相关的特定固有频谱。在有源系统发生故障的情况下,带有压电结构(现在变为无源)的结构的固有频率变得很重要。因此,在确定执行机构的尺寸和位置时,应考虑设计固有频率的最小变化以及良好的可控性。多目标遗传算法显示出对于优化此类问题的压电执行器的位置和尺寸非常有用。对于具有多个传感器/执行器的固定和旋转悬臂梁,已经找到了最佳的S / As尺寸和位置。

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