• CN:11-2187/TH
  • ISSN:0577-6686

›› 2011, Vol. 47 ›› Issue (7): 65-72.

• 论文 • 上一篇    下一篇

基于力状态映射法辨识非线性结合部动态参数

蔡力钢;李玲;郭铁能;刘志峰;赵永胜   

  1. 北京工业大学机械工程与应用电子技术学院
  • 发布日期:2011-04-05

Identification of Nonlinear Joint Parameters with Force-state Mapping Method

CAI Ligang;LI Ling;GUO Tieneng;LIU Zhifeng;ZHAO Yongsheng   

  1. College of Mechanical Engineering and Applied Electronics Technology,Beijing University of Technology
  • Published:2011-04-05

摘要: 频域分析中,运用力状态映射法对复杂结构非线性结合部等效动力学参数进行辨识,从而大大减少了在时域分析中需要大量数据带来的问题。由于结合部等效动力学参数的数学模型未知,加上试验时噪声对辨识精度的影响不可忽略,若采用传统最小二乘法求解时,方程发生病态,其解出现不适定问题。针对这种情况从以下两方面进行深入研究:假设所建立的数学模型包含所有精确项和冗余项;假设所建模型不包含所有精确项。采用Tikhonov正则化与迭代算法相结合对结合部等效力矢量模型进行更新,从而辨识出结合部等效动力学参数。分析发现即使实际模型不包含所有精确项,只要进行不断的模型更新,满足最终的收敛准则,辨识的精度仍然很高。最后通过算例验证,表明了本方法具有很高的辨识精度。

关键词: Tikhonov正则化, 参数辨识, 非线性结合部, 力状态映射法

Abstract: Identification of the non-linear joint parameters of the complex structure with force-state mapping in frequency domain, the number of the data required in the curve fitting can be drastically reduced compared to the time domain approach. Because the model of the joint is not known in advance, and noise affected the identification accuracy cannot be ignored, when using least square method to solve the over-determined equation, due to the inverse operation of the matrix, the noise may have great effect on the identified parameters, the equation will be ill-condition and the ill-posed problem arise from the noise effect. A novel method to identify the nonlinear joint parameters is proposed from two aspects as follow: the assumed model includes all the exact terms and some surplus term; the assumed model does not include all the exact terms and has some surplus terms. A model combining Tikhonov regularization and iterative method is suggested to update the joint model. It is found that even if the assumed model does not include all the exact terms, as long as model updated continually, meet the convergence criteria, the identification accuracy is still high. Example analysis confirms that this method has high identification accuracy.

Key words: Force-state mapping, Non-linear joint, Parameters identification, Tikhonov regularization

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