Autoregressive Trispectral Characteristics of Magnetorheological Damping Device

This paper presents a magnetorheological damping device which consists of a new amplitude controller, the signal collecting device, magnetorheological damper, computer software for dynamic analysis etc.. An autoregressive model of the fourth order cumulants and the trispectrum function using only the sampled displacement signals were taken to analyze the dynamic characteristics of the magnetorheological (MR) damping device. Modeling and analyzing has been done when a zero mean and non-Gaussian white noise interferes with the vibrant system. The reconstructed bispectra and energy spectra are also presented. The experimental and theoretical results indicate that the time series model and the parametric trispectrum are useful to establish the dynamic model and to analyze the magnetorheological damping system. The measurement and analysis process based on virtual instruments are automatically controlled by computer in this paper