基于参数识别的截割头纵向随机振动响应优化  

Vertical Random Vibration Response and Optimization of Cutting Head Based on Parameter Identification

作　　者：李晓豁[1] 何洋[1] 焦丽[1] 沙永东[1] 李婷[1] 

机构地区：[1]辽宁工程技术大学,阜新123000

出　　处：《中国机械工程》2015年第6期818-824,共7页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(59774033);中国煤炭工业协会科学技术研究指导性计划资助项目(MTKJ2011-325);辽宁省大型工矿装备重点实验室资助项目(2008403010)

摘　　要：为减小纵轴式掘进机截割头的振动,利用Lagrange方法并结合虚拟激励法推导了该型掘进机的纵向运动微分方程,根据Daubechies小波函数多尺度逼近方法和最小二乘法原理,将掘进机在随机激励作用下系统的时变阻尼和时变刚度用多尺度函数的线性组合表示,从而将时变参数识别问题转化为时不变问题。将识别出的刚度和阻尼值作为初始条件,借助鱼群算法以截割头纵向振动的位移响应为目标函数对参数进行了优化。结果表明:参数优化后截割头纵向振动的位移响应的均值下降了18.3%。为验证优化结果的可靠性,利用ADAMS建立了整机的多刚体动力学模型。仿真结果表明,截割头的位移响应变化与理论计算的结果较接近,从而验证了优化结果的有效性。In order to reduce the vibration of a longitudinal roadheader＇s cutting head,differential equations of motion of the roadheader were derived by using Lagrange equation and pseudo-excitation method.By expanding the time-varying stiffness and damping of the system into linear combination of a series scaling functions based on Daubechies wavelet＇s compactness and regularization and least-square method,the time-varying parameter identification problem was turned into the problem of iden-tifying invariant parameters.Taking the identifying parameters as the initial conditions,choosing dis-placement response of the cutting head as an optimal obj ective and parameters were optimized by means of fish-swarm algorithm.The results show that the displacement response of the cutting head is decreased by 18.3% after optimized.A multi-body dynamic model of the roadheader was simulated in ADAMS for the sake of identifying the conclusion,the model simulation results and the theoretical value are relatively close,which implies validity of the optimized conclusion.

关 键 词：截割头 虚拟激励法 小波 最小二乘法 鱼群算法 

分 类 号：TD421.5[矿业工程—矿山机电]