2026-10-12T00:52:15Z https://www.scidb.cn/oai

10.57760/sciencedb.Tribology.00067 2026-06-22T15:38:48Z

2026-06-22 Disc Brake Pad Wear Optimization and Closed-Loop Feedback Based on Digital Twin and Model Predictive Control doi:10.57760/sciencedb.tribology.00067 en 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. Based on real-time data generated during disc brake system operation, the MPC algorithm performs real-time optimization of braking pressure during the braking process. This optimized data was then fed back to the disc brake equipment through the digital twin system's data stream, achieving an integrated high-speed train disc brake digital twin closed-loop optimization feedback loop encompassing data acquisition–parameter optimization–data feedback integration, achieving closed-loop optimization feedback for disc brake equipment. Experimental results demonstrated that the proposed disc brake digital twin system, optimized for brake pad wear and featuring closed-loop feedback, reduced brake pad wear depth by up to 19.5%. It reliably fed optimized braking parameters back to the disc brake equipment. This research provides valuable insights for enhancing the intelligent operation and maintenance of disc brakes. digital Twin; model predictive control algorithm; disc brake; closed-loop feedback; prediction of brake pad wear Sha Zhihua Liu Bokun Shuohong Luo Gaohe Sequence Shi Li Song Jiajun Liu Yu Zhang Shengfang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank