振动主动控制模型及作动器位置优化仿真
DOI:
作者:
作者单位:

南京航空航天大学机械结构力学及控制国家重点实验室 南京210016

作者简介:

通讯作者:

中图分类号:

TN911.72

基金项目:


Optimization and simulation of active vibration control model and position of actuator
Author:
Affiliation:

Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    研究区域所有部位振动响应与振动控制检测部位的映射函数,优化传感器/作动器配置,建立合理的区域振动主动控制模型。连续体的振动主动控制中,往往用有限维的控制器去控制无限维的分布参数系统,实际工程中存在许多问题。本文应用MATLAB仿真,基于一维简单悬臂梁,等距离选取一定节点,识别外激励载荷;根据选取点传感器响应,对所有部位振动响应进行正交多项式拟合,代入振动主动控制的动力学模型,求解多项式系数;由振动响应确定优化目标函数,应用粒子群优化算法,研究在检测部位传感器位置不变、外激励特性改变的情况下控制作动器的最优位置。

    Abstract:

    Establishment of reasonable regional active vibration control model is studied in this paper, and it focuses on the mapping function of regional vibration responses to observing parts in vibration control, and optimizes the sensor/actuator configuration. Active vibration control in no individual body often uses the finite dimensional controller to control the infinite dimensional distributed parameter systems, but it leads to many problems in practical engineering. MATLAB simulation is applied in this article, based on the onedimensional simple cantilever beam, it selects certain nodes by equidistance, to identify the external load. According to the sensor responses of selected points , vibration response for all positions are orthogonal polynomial fitting, and the polynomial coefficients are solved in the dynamic model of active vibration control; with the optimal objective function determined by the vibration response and the application of particle swarm optimization algorithm, the research on the optimal locations of control actuators under the same sensor locations in testing position and the different characteristics of external excitation is surveyed.

    参考文献
    相似文献
    引证文献
引用本文

梁旋,张方.振动主动控制模型及作动器位置优化仿真[J].国外电子测量技术,2016,35(11):15-23

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2016-12-13
  • 出版日期: