基于遗传算法的压电悬臂式能量采集器性能优化

Shimaa M. Ahmed, M. Salem, M. Eladawy
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引用次数: 1

摘要

本文的目的是提出一种单梁压电悬臂结构的性能优化。设计优化技术是基于遗传算法的。优化了结构几何参数。通过这种优化,找到了在某一频域内输出功率与带宽乘积的最优值。在该结构中,压电材料被分成不同的部分。确定了这些段的最佳数量和尺寸,使功率带宽乘积最大化。并与传统结构进行了比较。使用Comsol Multi-physics 5对这两种结构进行了模拟。该结构的功率带宽积得到了提高。所提出的结构是对传统结构的加强。仿真结果表明,该结构的最优值比传统结构高9.46%。此外,该结构的体积比传统结构小7.65%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Optimization of a Proposed Piezoelectric Cantilever Energy Harvester Using Genetic Algorithm
This paper aims to present the performance optimization of a proposed single beam piezoelectric cantilever structure. The design optimization technique is based on genetic algorithms. It optimizes the structure geometrical parameters. By this optimization, the optimum value of the product of output power and bandwidth in a certain frequency domain is found. In the proposed structure, the piezoelectric material is split into different segment. The optimum number and dimension of these segments that maximizing the power bandwidth product is determined. A comparison between the proposed and the conventional structure is presented. Both structures are simulated using Comsol Multi-physics 5. The power bandwidth product in the proposed structure is enhanced. in the proposed structure is enhanced over the traditional structure. The simulation results indicate that the optimum value of the proposed structure is higher than the conventional structure by 9.46 %. In addition, the volume of the proposed structure is less than the conventional structure by 7.65%.
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