• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of intelligent material systems and structures >Simultaneous optimization of control parameters and placements of piezoelectric patches for active structural acoustic control of shell structures under random excitation
【24h】

Simultaneous optimization of control parameters and placements of piezoelectric patches for active structural acoustic control of shell structures under random excitation

机译：随机激励下壳体结构主动结构声学控制的控制参数和压电贴片放置的同时优化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Simultaneous optimization of multiple parameters of an active structural acoustic control system under random force excitation is presented in this article. A method integrating the pseudo excitation method, finite element method, and boundary element method is proposed to analyze the random acoustic radiation. The active structural acoustic control of randomly vibrating structures is developed using the velocity feedback control scheme with the help of the pseudo excitation method. The acoustic design optimization model is proposed, in which the auto power spectral density of sound pressure is taken as the objective function and the placements of actuators/sensors as well as control gains are assigned as design variables. Taking into account the operational efficiency and control cost, the number of actuators/sensors and the total actuation energy are considered as constraints. A simulated annealing algorithm is employed for the optimization problem with discrete and continuous variables coexisting. Numerical examples are given to demonstrate the effectiveness of the proposed methods and the programs, and several key factors on the optimized designs are also discussed.
机译：本文提出了随机力激发下的有源结构声控制系统的多个参数的同时优化。一种方法，提出了一种伪激励方法，有限元方法和边界元方法来分析随机声辐射。随机振动结构的主动结构声学控制是使用借助于伪激励方法的速度反馈控制方案开发的。提出了声学设计优化模型，其中声压的自动功率谱密度被视为目标函数，并且致动器/传感器的放置以及控制增益被分配为设计变量。考虑到操作效率和控制成本，执行器/传感器的数量和总致动能被认为是约束。模拟退火算法用于利用离散和连续变量共存的优化问题。给出了数值例子来证明所提出的方法和程序的有效性，并且还讨论了优化设计上的几个关键因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号