Parameter Identification Method of H-B Model for Magnetorheological Damper Based on Least Square Method and BP Neural Network
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 damp-er,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 re-sults.
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