中国机械工程 ›› 2013, Vol. 24 ›› Issue (19): 2647-2651.

• 机械基础工程 • 上一篇    下一篇

基于区间分析的LuGre摩擦模型参数辨识方法

刘柏希;姚昊雄;聂松辉   

  1. 湘潭大学,湘潭,411105
  • 出版日期:2013-10-10 发布日期:2013-10-11
  • 基金资助:
    国家自然科学基金资助项目(50905151);湖南省教育厅优秀青年资助项目(13B115) 
    National Natural Science Foundation of China(No. 50905151)
    Hunan Provincial Program for Distinguished Young Scholars of Ministry of Education of China(No. 13B115)

Parameter Identification of LuGre Friction Model Based on Interval Analysis

Liu Baixi;Yao Haoxiong;Nie Songhui   

  1. Xiangtan University,Xiangtan,Hunan,411105
  • Online:2013-10-10 Published:2013-10-11
  • Supported by:
     
    National Natural Science Foundation of China(No. 50905151)
    Hunan Provincial Program for Distinguished Young Scholars of Ministry of Education of China(No. 13B115)

摘要:

针对LuGre摩擦模型参数耦合、动态参数辨识困难等问题,提出一种基于区间分析的LuGre摩擦模型动态参数辨识方法。首先,简要介绍了边界误差估计方法及其在系统模型为常微分方程时系统参数辨识中的应用,然后,基于两步法思想,分别采用最小二乘法和基于区间分析的边界误差估计方法对4个静态参数和2个动态参数进行了辨识。该方法有效避免了采用传统非线性辨识方法辨识LuGre摩擦模型动态参数时初值确定困难、对辨识结果影响大以及显性目标函数不易给出等缺陷,同时,辨识得到的参数为全局最优。最后通过实例验证了该方法的正确性和有效性。

关键词: 摩擦模型, 参数辨识, 边界误差估计, 区间分析

Abstract:

An approach, based on bounded-error estimation via interval analysis, was presented to identify dynamic parameters of LuGre friction model herein. The approach assumed the error of measurement output data of dynamic system with LuGre friction force was bounded. Hence, the problem of parameter idelification can be transformed into that of set inversion, which will be effectively solved via interval analysis. The four static parameters of LuGre friction model were estimated using least-square method in sliding regime, which deceased sharply the amounts of parameters identified using interval analysis. In comparison with the traditional estimation methods the main advantages of the proposed method  are that, as it is global, it bypasses the problem of initialization. Moreover, the method avoids amount error due to transformation of measurement output data. An identification example was given to show the correctness and efficiency of the proposed method.

Key words: friction model, parameter identification, bounded-error estimation, interval analysis

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