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- Title
基于最小二乘法和BP神经网络的磁流变阻尼器H-B模型参数辨识方法.
- Authors
张忠奎; 张晗; 闫洋洋
- Abstract
In view of the calculation error of damping force caused by shear thinning effect of Bingham model magnetorheological(MR) damper, a method combining least square method and BP neural network was proposed on the basis of theoretical and simulation analysis to identify the parameters of H-B model of magnetorheological damper, the relationship between parameters and current were obtained, and the damping force of magnetorheological damper was accurately calculated. Finally, the theoretical method was verified by the experiment of magnetorheological damper. The results show that: with the help of the simulation analysis of magnetorheological damper, the H-B model parameter identification method of magnetorheological damper with the combination of least square method and BP neural network has high accuracy and good coincidence, which verifies the universality and accuracy of the parameter identification results.
- Publication
Machine Tool & Hydraulics, 2024, Vol 52, Issue 4, p126
- ISSN
1001-3881
- Publication type
Article
- DOI
10.3969/j.issn.1001-3881.2024.04.021