Abstract

This paper proposes a mathematical model and control strategy for a hydro-pneumatic suspension system (HPS) aimed at enhancing ride comfort in a mining dump truck. This study investigates the effectiveness of Proportional-Integral-Derivative (PID) and Fuzzy Logic controllers in improving the performance of a semi-active hydro-pneumatic suspension (HPS) system. A dynamic model for a mining truck equipped with an HPS system is developed, and the vertical forces, including elastic, damping, and frictional forces, are calculated and is simulated by using Matlab Simulink sofware. The system's performance is evaluated under different operating conditions. Simulation results demonstrate that the HPS, controlled by PID and Fuzzy logic controllers, significantly improves ride comfort, with reductions in the root mean square of acceleration (awb) values. The Fuzzy controller outperforms the PID controller, with improvements of up to 36.03% in poor road conditions and 31.77% at higher speeds.