...
首页> 外文期刊>Sensors >Simulation and Experimental Investigation of Structural Dynamic Frequency Characteristics Control
【24h】

Simulation and Experimental Investigation of Structural Dynamic Frequency Characteristics Control

机译:结构动态频率特性控制的仿真与实验研究

获取原文
   

获取外文期刊封面封底 >>

       

摘要

In general, mechanical equipment such as cars, airplanes, and machine tools all operate with constant frequency characteristics. These constant working characteristics should be controlled if the dynamic performance of the equipment demands improvement or the dynamic characteristics is intended to change with different working conditions. Active control is a stable and beneficial method for this, but current active control methods mainly focus on vibration control for reducing the vibration amplitudes in the time domain or frequency domain. In this paper, a new method of dynamic frequency characteristics active control (DFCAC) is presented for a flat plate, which can not only accomplish vibration control but also arbitrarily change the dynamic characteristics of the equipment. The proposed DFCAC algorithm is based on a neural network including two parts of the identification implement and the controller. The effectiveness of the DFCAC method is verified by several simulation and experiments, which provide desirable results.
机译:通常,诸如汽车,飞机和机床之类的机械设备都以恒定的频率特性运行。如果需要改善设备的动态性能,或者要根据不同的工作条件改变动态特性,则应控制这些恒定的工作特性。主动控制是一种稳定且有益的方法,但是当前的主动控制方法主要集中在振动控制上,以减小时域或频域中的振动幅度。本文提出了一种用于平板的动态频率特性主动控制(DFCAC)的新方法,该方法不仅可以实现振动控制,而且可以任意改变设备的动态特性。提出的DFCAC算法基于神经网络,包括识别工具和控制器两部分。通过多次仿真和实验验证了DFCAC方法的有效性,这些结果提供了令人满意的结果。

著录项

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