A gradient based recursive identification of mechanical systems with backlash-like hysteresis

Ruili Dong, Yonghong Tan
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引用次数: 4

Abstract

It is known that backlash-like hysteresis is one of the non-smooth nonlinearities usually existing in mechanical systems. Due to the characteristic of non-smoothness, it is quite difficult to apply the traditional identification method to the modeling of dynamic systems with backlash-like hysteresis in mechanical systems. In this paper, a gradient based recursive identification algorithm for dynamic systems with backlash-like hysteresis is presented. In this method, based on the concept of Clarke sub-gradient, a so-called bundle method is used to obtain the optimizing search direction at the non-smooth points. Then, the gradient based algorithm is developed for parameter estimation. Finally, an example of applying the proposed method for modeling a simulated mechanical transmission system is presented.
具有类间隙迟滞的机械系统的基于梯度的递归辨识
类间隙滞回是机械系统中常见的非光滑非线性现象之一。由于机械系统的非光滑特性,将传统的辨识方法应用于具有类间隙迟滞的动态系统建模是相当困难的。提出了一种基于梯度的类间隙滞回动态系统递归辨识算法。该方法基于Clarke次梯度的概念,采用所谓的束法在非光滑点处获得最优搜索方向。然后,提出了基于梯度的参数估计算法。最后,给出了将该方法应用于机械传动系统仿真建模的实例。
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