
The two most important parameters in vehicle vibration are the level of comfort and stability. To get the best value from that parameter, the vehicle suspension system is very important to reduce vibration due to road waves and keep the wheels attached to the road. This paper studied the effect of the type of suspension on the vibration of a one-wheeled vehicle in terms of comfort and stability. The type of suspension is related to the value of the spring stiffness and the damping. While the vehicle is modeled with one wheel in two degrees of freedom. The test is carried out by loading the vehicle including the mass of the vehicle and passengers for each type of suspension, namely soft, medium and hard. Vibration analysis was performed using Matlab Simulink to obtain the acceleration response and deflection response. The vibration response graph shows the comparison of the level of comfort and stability of the vehicle on the road profile modeled in step, impulse and sinusoidal functions. From the simulation results, it is found that the Soft and Medium Suspension can handle vibration very well, especially from the level of response speed for relatively flat roads. Meanwhile, the Hard type of suspension is very good at dampening vibrations for high bumpy roads.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
