An analysis of pitch and bounce motion, requiring high performance of ride comfort

TL;DRAbstract

This paper shows the optimum frequency ratios of iho front and rear ends of the ear to minimize pitch* motion, which can be calculated with flic mean square value of pitch. The human ansitivity of pitch and bounce was investigated through sensory evaluation by using a 6-degree-of-freedom simulator, The vehicle desimi parameters of a two-degree-of-freedom model describe ihe pitch and bounce motion, and determine the mean square values of pitch and bounce. The mean square values of pitch velocity and bounce velocity with 1/f random inpui estímale the vehicle frequency and damping sellings. There are the optimum from and rear ratios of the frequency and the damping ratio to minimize the mean square value of pitch, but there is no optimum setting to mimmize the mean square value of bounce. Higher front and rear ratios of the frequency me the damping ratio are required to achieve minimizing of the mean square value of pitch, The task of passing over a hump takes into account the process of

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