The suspension system's primary function is to provide passenger comfort by mitigating the effects of road roughness. Notably, minimising the effects of such vibrations also reduces the strain on mechanical vehicle components. The goal of this project is to create an artificial intelligence controller for a car's active suspension system in order to minimise the impact of imposed vibrations on the vehicle. In this study, the proposed controller has been designed using the fuzzy logic technique. Simulink environment has been used to model the dynamic system’s controlled behaviour based on the imposed pavement condition. Gaussian white noise was used to depict the road surface condition. The performance of the fuzzy logic controller (FLC) has been compared to a proportional-integral-derivative (PID) controller. The results show that the developed controller outperforms the PID in minimising the effects of road roughness.