System identification: suspension parameters

[serbring]

I need to estimate the suspension parameters (i.e. spring stiffness, damping coefficient and so on). So I have measured the acceleration at the top and at the base of the suspension during ground excitation. I have used a random excitation. The matter is the problem is nonlinear due to air spring and maybe suspension mechanism too. I have tested the system in high amplitude because it makes no sense to get the parameter a low amplitude for other aspect of my project. By the way, in your opinion what is it the best way to proceed? Is it better frequency identification, time history identification or something else? Any suggestions are appreciated
Thanks

 

[Navin A S]

.The best approach for estimating the suspension parameters would be to use a combination of frequency identification and time history identification. Frequency identification would allow you to identify the natural frequencies of the system, which will provide you with valuable information about the spring stiffness and damping coefficient. Time history identification can then be used to identify the dynamic behavior of the system under various excitation conditions, allowing you to refine your estimates of the parameters. This approach should provide you with the most accurate estimates of the suspension parameters.