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Event-Triggered Finite-Time Model-Free Adaptive PID Control of High-Speed Trains Against Packet Dropouts

Authors: Zhang, L., Zhao, H., Xu, D., Yu, H., Peng, L.

Journal: IEEE Transactions on Vehicular Technology

Publication Date: 01/01/2026

eISSN: 1939-9359

ISSN: 0018-9545

DOI: 10.1109/TVT.2026.3730805

Abstract:

This paper proposes an event-triggered finite-time model-free adaptive PID control scheme for high-speed train speed regulation under nonlinear and time-varying dynamics. First, an equivalent linear data model is established using input-output data, and a finite-time model-free adaptive PID controller is developed that guarantees tracking performance without requiring an explicit system model. Second, a dual-channel packet-loss compensation strategy is formulated to mitigate data dropouts in both the forward and feedback communication channels. Third, an event-triggered communication mechanism updates the control law only when an error-driven condition is satisfied, thereby reducing communication overhead. Finally, a rigorous analysis of tracking-error convergence is presented, and simulation studies validate the effectiveness and superiority of the proposed scheme.

Source: Scopus