The vehicle suspension system design plays an important role in the ride comfort of the passengers. In this study, the optimum design for a passive suspension system of a passenger vehicle is investigated to enhance the ride comfort for the passenger when crossing different types of speed control profiles (SCPs) while the allowable speed limit is not violated. The vehicle-passenger system is represented as a mathematical model consists of 4 degrees of freedom (4-DOF). The optimization problem aims to minimize the root mean square (RMS) of the passenger vertical acceleration subject to constraints on the maximum passenger vertical acceleration, the suspension travel, the static deflection, and the natural frequencies of both the bounce and the bitch movements. The optimization design parameters are the front suspension stiffness, the front dynamic coefficient, the rear suspension stiffness and the rear dynamic coefficient. This optimization problem is solved using the particle swarm optimization technique (PSO). Seven different speed control profiles are considered in this study to simulate and assess the vehicle performance. According to the simulation results, the optimized passive suspension system with PSO has superior performance compared with the classical passive suspension system.
Index Terms-passive suspension optimization, 4-DOFvehicle model, speed control, ride comfort, PSO His interested research areas are structural optimization, dynamic systems response, vibration control, thermal stresses suppression, modeling and identification of non-linear systems, smart materials application, and optimization of mechanical systems. Prof. Tomáš Vampola obtained his M.Sc in applied mechanics from the CTU in Prague. After his graduate studies he worked in the Car Research Institut in Prague, where developed the computational effective algorithm for FE method for large structure. This was followed by a move to the CTU in