Abstarct: Designing a new robust fuzzy controller to obtain driver comfort for active suspension system is the purpose of this thesis. The nonlinear dynamics of an actuator are considered during the control design of a quarter-car active suspension system. Hence, the state-space model of system is presented regarding the nonlinear actuator. A robust controller baxsed on sliding mode method is designed in the presence of uncertainties. Then, a new robust fuzzy controller is developed by utilizing an adaptive fuzzy approximator in which the control goals are provided for the system. Fast response, the nonlinear dynamics of actuator, an acceptable control signal, disturbance rejection and compensating the parametric uncertainties are the features of the proposed control law. The stability of the closed-loop systems is proven by Lyapunov functions. The numerical simulation is illustrated for passive suspenstion system and the active suspension systems. The superiority of the proposed robust fuzzy controller is confirmed through the results. The MATLAB- SIMUlixnk software is employed for simulation.