Active Suspension

Active suspension systems dynamically adjust vehicle stiffness and damping to improve ride comfort and stability, particularly crucial for autonomous vehicles and off-road applications. Current research heavily utilizes deep reinforcement learning, often coupled with physics-based models, to optimize control strategies and predict suspension performance across diverse terrains and vehicle configurations. This work aims to enhance both passenger comfort and vehicle control, impacting areas such as autonomous driving, robotics, and the design of more robust and adaptable vehicles. The integration of machine learning with traditional vehicle dynamics modeling is a key trend, leading to more accurate predictions and improved control algorithms.