Disc Brake Pad Wear Optimization and Closed-Loop Feedback Based on Digital Twin and Model Predictive Control

To achieve more intelligent and eco-friendly operation and maintenance of high-speed train disc brake systems, a disc brake digital twin system oriented toward brake pad wear optimization and closed-loop feedback was established by integrating Model Predictive Control (MPC) algorithms into the digital twin system. First, a data-driven digital twin system for high-speed train disc brakes was constructed. Based on a TCP/IP communication architecture, it achieves mapping and feedback between virtual simulation optimization data and real-time operational data, enabling precise monitoring of disc brake equipment status.

Second, with the objective of minimizing maximum brake pad wear depth while balancing brake pad wear, braking stability, and comfort, and setting multiple constraints based on braking safety, the MPC optimization algorithm was employed for real-time rolling optimization of braking pressure during the braking process. Finally, the MPC optimization algorithm was integrated into the high-speed train disc brake digital twin system.