In this paper, we will explain the interest of developing a new active suspension control approach for trucks HGVs based on Artificial Neural Network ANNs. The suspension system can be categorized into passive, semi-active and active suspension system. In active suspension system control, the required performance is based on the following: Ride comfort, Suspension travels and Road handling. The model is developed with MATLAB Toolbox and estimated and validated using data collected through tests done with a truck. There are several methods for modelling a system. One of them is to use the laws of physics to describe the system and use experimental data or given information about the system to determine the system’s parameters. The statement of the problem of this research is to develop a robust controller that can improve the performances of the nonlinear active suspension system of the Heavy Truck and its verifications using graphical and animation output.