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MULTI-OBJECTIVE OPTIMIZATION OF PIEZOELECTRIC MICROACTUATOR USING GENETIC ALGORITHMS

机译:遗传算法在压电微驱动器多目标优化中的应用

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In flex-tensionai piezoactuators, due to the low displacement of piezostacks, a compliant mechanism is used to amplify displacement of piezostack. In this paper, optimization of a compliant mechanism with corner-filleted flexure hinges is carried out using real-coded genetic algorithms (GAs) to avoid trapping in local optimums. The objective functions are displacement amplification and stiffness of mechanism and design variables are cross-sectional size and material used. The constraints which are applied on mechanism are based on piezostack dimensions and manufacturing limits. Displacement amplification and stiffness are calculated using strain energy and Castigliano's displacement theorem.
机译:在弯曲拉伸式压电致动器中,由于压电叠层的低位移,所以使用顺应机构来放大压电叠层的位移。在本文中,使用实角编码遗传算法(GA)对带有角圆角弯曲挠性铰链的顺应性机制进行了优化,以避免陷入局部最优状态。目标函数是位移放大和机构刚度,设计变量是横截面尺寸和使用的材料。施加在机构上的约束是基于压电堆栈的尺寸和制造限制的。位移放大率和刚度是使用应变能和Castigliano位移定理计算的。

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