Preview MPC control of train active suspension based on Kalman filter disturbance estimation

Key Points

• Train active suspension demonstrates improved performance with MPC control in dynamic systems.
• Key evidence shows a reduction in disturbance impact by 30% under tested conditions.
• Analysis employs a Kalman filter for disturbance estimation and system state awareness in system design.
• This approach highlights potential for enhanced train safety and ride comfort through active suspension systems.