A Terminal Sliding Mode Algorithm for Train Velocity Tracking Considering Wheel-Rail Adhesion

Turner, Rhiannon N.; Jia, Yingmin

doi:10.1109/cac.2018.8623720

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…The single-point-mass model, which treats the train as a single particle, can describe the complete characteristics of the train, simplify the train modeling, and achieve good real-time performance, so it has been widely applied in the tracking control of HSTs [2,4,8,11,16,[24][25][26]. Considering train dynamics in the longitudinal direction, the force diagram of a single-point-mass model of HSTs is depicted in Figure 1.…”

Section: Description Of Train Dynamical Model Without Actuator Faultsmentioning

confidence: 99%

Model-Independent Adaptive Fault-Tolerant Tracking Control for High-Speed Trains with Actuator Saturation

Wang

2019

Applied Sciences

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This paper investigates the fault-tolerant tracking control problem of high-speed trains (HSTs) subject to unknown model parameters with unavailable uncertainties, unmeasurable additional disturbance, and unpredictable actuator faults constrained by actuator saturation. An adaptive passive fault-tolerant tracking control strategy based on variable-gain proportion-integral-derivative (PID)-type sliding mode surface is proposed to handle the problem. Unknown model parameters, gains of the PID-type sliding mode surface, and upper bounds of the lumped system uncertainty which includes additional disturbance, modeling uncertainties, and uncertainties resulting from actuator faults, are estimated online by adaptive technology. The input saturation (actuator output saturation) constraint is handled by introducing an auxiliary signal. The proposed controller can compensate for the effects of the lumped uncertainty and the actuator faults effectively. Moreover, the controller is model-independent, which means it requires no prior knowledge of model parameters and upper bounds of the lumped uncertainty, and does not depend upon fault detection and diagnosis module. The asymptotic stability of the closed-loop train system is demonstrated by Lyapunov theory. Good fault-tolerant tracking capacity, effective anti-actuator saturation ability, and strong robustness of the proposed controller are verified via numerical simulation.

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Section: Description Of Train Dynamical Model Without Actuator Faultsmentioning

confidence: 99%

Model-Independent Adaptive Fault-Tolerant Tracking Control for High-Speed Trains with Actuator Saturation

Wang

2019

Applied Sciences

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Design of sliding mode observer for the estimation of train car positions and in-train forces

Bouchama¹,

Defoort

Berdjag

et al. 2021

IFAC-PapersOnLine

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Observer-based freight train control to reduce coupler strain and low adhesion issues

Bouchama¹,

Houti²,

Berdjag

et al. 2021

2021 IEEE International Intelligent Transportation Systems Conference (ITSC)

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A Terminal Sliding Mode Algorithm for Train Velocity Tracking Considering Wheel-Rail Adhesion

Cited by 4 publications

References 17 publications

Model-Independent Adaptive Fault-Tolerant Tracking Control for High-Speed Trains with Actuator Saturation

Model-Independent Adaptive Fault-Tolerant Tracking Control for High-Speed Trains with Actuator Saturation

Design of sliding mode observer for the estimation of train car positions and in-train forces

Observer-based freight train control to reduce coupler strain and low adhesion issues

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