基于随机游走和输入估计方法的振动主动控制研究

邵敏强;陈卫东;陈 前

振动与冲击 ›› 2009, Vol. 28 ›› Issue (7) : 55-60.

PDF(365 KB)
PDF(365 KB)
振动与冲击 ›› 2009, Vol. 28 ›› Issue (7) : 55-60.
论文

基于随机游走和输入估计方法的振动主动控制研究

  • 邵敏强,陈卫东,陈 前
作者信息 +

An active vibration control method based on randonm walk and input estimation algorithm

  • SHAO Min-qiang,CHEN Wei-dong,CHEN Qiang
Author information +
文章历史 +

摘要

摘要:为了研究未知外扰作用下动力学系统的振动主动控制问题,结合Kalman滤波和LQG(linear quadratic Gaussian)控制方法,提出了基于随机游走和输入估计的振动主动控制方法。为尽量获取未知外扰信息,首先采用随机游走模型构建求知外扰信号的离散递推形式,并将其作为辅助状态引进受控系统的状态方程。然后,借助具有信号识别和跟踪能力Kalman滤波原理,对含有辅助状态的系统进行状态估计,从而得到未知外扰的估计值.根据系统已知测量输出、未知状态及外扰的估计值构造系统目标函数,采用LQG方法求解系统最优控制输入。最后针对sdof模型进行数值仿真。结果表明受控系统在非随机和随机外激励下都具有良好的控制效果,且控制精度优于传统LQG方法

Abstract

A porgram of active vibration control with unknown excitations was studied here.According to the knowledge of Kalman filtering kand linear quadratic Gaussian(LQG) methd,the control algorithm based on random walk and input estimation was proposed.First,the excitations were described as discrete recursive forms by using random walk model and they were introduced into state functions of the control system as auxiliary state variables.And then,the Kalman filtering principle was used to estimate the unknown excitation combining the auxiliary the auxiliary state functions.So,the system tarber functions could be created according to the estimation values of the estimation values of the unknown excitations,state variables and the known measured outputs.Finally,using the LQG algorithm to get the optimal values of current control inputs.Good control effects were proved by numeric simulation with sdof and 2 dof models.The results were better than those based on the conventional LQG method .

关键词

振动主动控制 / 最优控制 / 输入估计 / 随机游走 / 随机外扰

Key words

active vibration contro / optimal contriol / input estimation / random walk / random excitation

引用本文

导出引用
邵敏强;陈卫东;陈 前. 基于随机游走和输入估计方法的振动主动控制研究[J]. 振动与冲击, 2009, 28(7): 55-60
SHAO Min-qiang;CHEN Wei-dong;CHEN Qiang. An active vibration control method based on randonm walk and input estimation algorithm[J]. Journal of Vibration and Shock, 2009, 28(7): 55-60

PDF(365 KB)

2943

Accesses

0

Citation

Detail

段落导航
相关文章

/