摘要
基于外源自回归滑动平均模型(ARMAX),提出改进的动态偏心精密磨削非线性振动系统的二阶振动微分方程解耦算法,获得其传递函数系统模态参数,主要包括模态刚度、模态质量和模态阻尼等的辨识.结合模态辨识理论,优化复模态振型的振动系统传递函数矩阵模态参数的模态留数或模态参数形式辨识算法,并进行相应实验验证.验证结果表明:该复模态振型振动系统解耦算法实现重构传递函数曲线低频区域局部振动特征,计算精度较高,有效应用于精密加工过程非线性振动的预估和控制.
Based on auto-regressive moving average（ARMAX）model,an improved decoupling algorithm of second order differential equation of nonlinear eccentric vibration system in precision grinding was presented to realize the system modal parameters identification such as modal quality,modal damping and modal rigidity.Combining with modal analysis theory,further identification algorithm of transfer function matrixes in complex modes of the vibration system was optimized and validated by experiments.Experimental results shown that the proposed decoupling algorithm is effective to reconstruct vibration features of transfer function curves in low frequency domain with high accuracy and can be well used to predict and control dynamic vibration during precision manufacturing process.
作者
陈勇
黄国钦
罗光华
柯翔敏
CHEN Yong;HUANG Guoqin;LUO Guanghua;KE Xiangmin(College of Mechanical Engineering and Automation, IIuaqiao University, Xiamen 361021, China;Institute of Manufacturing Engineering, IIuaqiao University, Xiamen 361021, China;Center of Internet and Education Technology, IIuaqiao University, Xiamen 361021, China)
出处
《华侨大学学报（自然科学版）》
CAS
北大核心
2018年第3期332-336,共5页
Journal of Huaqiao University(Natural Science)
基金
国家自然科学基金资助项目(51235004
51575198)
关键词
ARMAX模型
非线性振动
解耦算法
精密磨削
系统辨识
auto-regressive moving average model
nonlinear vibration
decoupling algorithm
precision grinding
systemic identification
