Experimental and Modeling Research on Magnetorheological Dampers Considering Multi-parameter Nonlinearity
摘要
Magnetorheological (MR) dampers, as a new type of energy dissipation device, are used to absorb energy and reduce vibration, in order to protect the system structure. The current work of this article is to conduct mechanical performance tests and study the dynamic characteristics of an MR damper for vehicle suspension. To accurately track the highly nonlinear mechanical characteristics of the damper, an improved hyperbolic tangent model is proposed, and the optimized adaptive genetic algorithm is used for the parameter identification of the model. By comparing with the existing hyperbolic tangent model, it was found that the optimized model can more accurately simulate the mechanical characteristics of MR dampers. Finally, after the polynomial fitting of the parameters of each model, the model can still maintain a certain degree of accuracy under different operating conditions, indicating that this model can be used for semi-active control of MR dampers.