This study presents the development of a mathematical model and control strategy for a hydro-pneumatic suspension system (HPS) to enhance ride comfort in a mining dump truck. A nonlinear dynamic model is formulated, incorporating the vertical force components of the HPS to accurately represent the system's behavior under real operating conditions. To improve ride comfort, two control methods are proposed: a Proportional-Integral-Derivative (PID) controller and a Fuzzy Logic controller. These controllers are designed to regulate the pressure in the air chamber of the suspension system, which plays a critical role in absorbing shocks and maintaining vehicle stability. Simulations are performed using a quarter-vehicle model in MATLAB Simulink to assess the effectiveness of the proposed control strategies. The results indicate that both PID and Fuzzy Logic controllers significantly reduce the vertical displacement and acceleration of the vehicle body when compared to a conventional passive suspension system. Specifically, the root mean square (RMS) value of body acceleration (awb) is reduced by 18.39% with the PID controller and by 27.55% with the Fuzzy Logic controller, indicating a significant improvement in ride comfort.