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Optimal shape control of thin plate using laminated piezoelectric actuators with genetic algorithm

机译:遗传算法的压电叠片驱动器薄板形状优化控制

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This paper deals with the shape control of a cantilever thin plate structure by using laminated piezoelectric actuators (LPA). The shape control equation of the cantilever thin plate partially covered with LPA is derived based on the constitutive relations of the elastic material and piezoelectric material and the thin plate deformation theory. The actuating forces produced by LPA are formulated as well. It reveals how the actuating forces depend on the number of piezoelectric layers, the thickness of piezoelectric layers. The driving voltages of LPAs are then determined by a genetic optimization algorithm. The shape control of the cantilever thin plate applying the optimal voltage to LPAs is simulated. The simulation results show that the increasing of LPA layer number can significantly improve the control performance as the acting forces of LPA are a quadratic function of the LPA layer number. Consequently, the LPA of large layer number is able to diminish effectively the pre-deflection of the thin plate under low control voltage. And with the same control voltage, the LPA can obtain better control performance than the conventional single layer piezoelectric actuator.
机译:本文通过使用叠层压电致动器(LPA)处理悬臂薄板结构的形状控制。基于弹性材料与压电材料的本构关系和薄板变形理论,推导了部分覆盖有LPA的悬臂薄板的形状控制方程。 LPA产生的驱动力也被公式化。它揭示了致动力如何取决于压电层的数量,压电层的厚度。然后通过遗传优化算法确定LPA的驱动电压。模拟了将最佳电压施加到LPA的悬臂薄板的形状控制。仿真结果表明,由于LPA的作用力是LPA层数的二次函数,因此增加LPA层数可以显着提高控制性能。因此,大层数的LPA能够有效地减小薄板在低控制电压下的预偏转。并且在相同的控制电压下,LPA可以获得比常规单层压电致动器更好的控制性能。

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