An integrated approach to the numerical study of forced oscillations of a vehicle moving over an uneven road surface is proposed. The method combines 3D parametric modeling in SolidWorks with spectral-correlation analysis in MATLAB/Simulink. A multibody CAD model of a vehicle with independent suspension for all wheels was developed, including the main frame, lever suspensions with nonlinear elastic-damping elements, wheels, and the powertrain. The road microprofile was formalized using a correlation function implemented as a random process in MATLAB and imported into SolidWorks as a spatial profile. Dynamic analysis was performed using the SolidWorks Motion module. The results show that the vehicle's suspension exhibits a filtering effect, attenuating high-frequency disturbances from the road and shifting the dominant frequency of the center of mass oscillations to a lower range (~0.4 Hz). The rapid decay of the autocorrelation function indicates effective damping. This approach allows for efficient virtual testing without costly physical experiments.

Keywords: vehicle dynamics, road microprofile, multibody modeling, SolidWorks Motion, MATLAB/Simulink, spectral analysis, autocorrelation function, suspension filtering effect, forced oscillations

The paper considers simulation models of the adaptive tire pressure control system, the calculation of the rollover coefficient and the magnitude of the lateral deflection of tractor wheels in the MathLab Simulink environment; it is revealed that compensation of the angle of lateral slope by changing the suspension height has a more effective effect on ensuring a rational wheel deflection angle and the rollover coefficient than reducing the center of mass.

Keywords: surface with a transverse slope, roll angle, rollover coefficient, wheel deflection angle, steeply inclined tractor