Fuzzy Adaptive Protective Control for High-Speed Trains: An Outstretched Error Feedback Approach

• Published in: IEEE transactions on intelligent transportation systems Vol. 23; no. 10; pp. 17966 - 17975
• Main Authors: Gao, Shigen, Li, Mingjun, Zheng, Yue, Zhao, Ning, Dong, Hairong
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Aerodynamic stability; Aerodynamics; Approximation; Control methods; Cruise control; Error feedback; Feedback control; fuzzy adaptive control; Fuzzy control; High speed rail; High-speed train control; Mathematical analysis; Nonlinear control; Nonlinear systems; outstretched error feedback; Parameter uncertainty; protective control; Rail transportation; Rails; Resistance; Safety; Slope gradients; Subsystems; Trains
• ISSN: 1524-9050; 1558-0016
• DOI: 10.1109/TITS.2022.3150357

This paper presents a fuzzy adaptive protective control method for autonomous high-speed trains (HSTs) automatic operation using a new outstretched error feedback design approach. In order to stabilizing the error dynamics with respect to target position and speed profiles of controlled HSTs, nonlinear transformation in prescribed performance control methodology is used to convert running states subject to protective (constrained) information, imposed by automatic train protection (ATP) subsystem, to new coordinates in unconstrained form. By blending a new outstretched error feedback and fuzzy approximation, it is guaranteed above-mentioned errors are kept within regions characterized by error boundary (or prescribed performance) functions and control parameters simultaneously, which can be adjusted to arbitrarily small even without error decreasing boundary functions. Fuzzy approximation is used in compensating unknown running resistances. It is rigorously proved that the resulting closed-loop system is stable in sense of Lyapunov stability in the presence of unknown resistance, containing basis and aerodynamic resistances with uncertain parameters and piecewise continuously slope resistance over varying gradient profile. The proposed control is demonstrated to be effective by comparative simulations of train G1 running on Beijing-Shanghai railway line.