Modeling and Control of the Linear Motor Active Suspension with Quasi-zero Stiffness Air Spring System Using Polynomial Chaos Expansion

• Proposes a novel linear motor active suspension integrated with quasi-zero stiffness air spring to enhance ride comfort and stability for commercial vehicles. • Utilizes polynomial chaos expansion to model and handle random parameter uncertainties in the linear motor, improving control robustness. • Develops a PCE-H2 robust controller with Kalman filter, demonstrating superior ride comfort and stability compared to conventional H2 control. • Validates the proposed approach through both simulation and hardware-in-the-loop experiments, confirming practical applicability.