Employment of semi-active controllers in passenger vehicles requires a thorough understanding of the controller parameters. These parameters are very much essential in minimizing error in a dynamic system. In this paper, a Sliding Mode Controller (SMC) has been implemented in a three-wheeler passenger vehicle. In order to identify the two parameters of SMC control to achieve better performance, an optimization technique has been adopted (i.e., particle swarm optimization). This will help in tuning the factors of SMC. Here, three objective criteria were formulated in solving the optimization problem, i.e., Integrate Absolute Time Error (IATE), Integrate Time Error (ITE), and Integrate Time Square Error (ITSE). Under each criterion, the response of the dynamic system (i.e., RMS acceleration (comfort) and road holding (Stability)) is evaluated and tabulated to identify the best parameters of the SMC controller. Later these values are employed in the vertical dynamic response of the three-wheeler under different input road conditions.