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

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 convergence with consideration for human sensitivity, Achieving a high performance officie comfort consist of for the most part, finding an optimum front and rear ratio of frequency to minimize the mean square value of pitch. A vehicle with a higher hase frequency, and higher base damping ratio or larger dynamic index, requires a higher front and rear ratio of frequency to reduce the mean square value of pitch. The mean square values enable a discussion of Ihe influence of vehicle parameters.