Adaptive backstepping control of train systems with traction/braking dynamics and uncertain resistive forces

Song, Qi; Song, Yongduan; Cai, Wenchuan

doi:10.1080/00423114.2010.520084

Cited by 59 publications

(33 citation statements)

References 11 publications

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“…However, little effort has been made in applying this method in the control design for train systems. Recently, an adaptive backstepping control scheme for train speed and position tracking is developed in [13], where tractionlbraking dynamics and the uncertain nature of the resistance coefficients are addressed explicitly.…”

Section: Introductionmentioning

confidence: 99%

“…Motivated by the work of Song et al [13], wherein an adaptive backstepping control design was proposed for tractionlbraking control, in this work, we revisit the same problem as in [13] and present an improved version of the control scheme that not only retains the advantages of [13], but also extends to cope with additional unknown system parameters, and more importantly, to accommodate tractionlbraking failures in the system. Such fully parameter-independent and fault-tolerant control is made possible by the utilization of virtual parameter concept and a modified Lyapunov function candidate.…”

Section: Introductionmentioning

confidence: 99%

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Dealing with traction/braking failures in high speed trains via virtual parameter based adaptive fault-tolerant control method

Song

Cai

2012

2012 American Control Conference (ACC)

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This paper presents an automated control scheme for high speed trains with combined longitudinal aerodynamics and trackinglbraking dynamics. Synthesized using the so-called virtual parameter based backstepping adaptive control method, the resultant control scheme exhibits several salient features: 1) the inherent coupling effects are taken into account as a result of combining both longitudinal aerodynamics and traction! braking dynamics; 2) fully parameter independent control algorithms are derived; and 3) closed-loop tracking stability of the overall system is ensured under unpredictable traction! braking failures. The effectiveness of the developed control scheme is authenticated via a formative mathematical analysis based on Lyapunov stability theory and also validated via numerical simulations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dealing with traction/braking failures in high speed trains via virtual parameter based adaptive fault-tolerant control method

Song

Cai

2012

2012 American Control Conference (ACC)

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“…The problem of the desired train position and velocity tracking was investigated in [10][11][12]. Such an approach may only be applied under the assumption that reference trajectories implicate that the desired adhesive force is always available.…”

Section: Introductionmentioning

confidence: 99%

Adaptive, compensating control of wheel slip in railway vehicles

Kabziński¹

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The problem of slip stabilization and tracking in railway vehicle applications is considered. A nonlinear adaptive control compensating for unknown disturbance in motion dynamics such as: friction, contact force variations and air resistance is proposed. The control is based on approximate models with adaptive parameters. The stability of several control algorithms is proven and performance of the derived controllers is investigated. The proposed controllers are evaluated in numerical simulations and by DSP application to slip control in a friction gear driven by a permanent magnet synchronous motor.

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“…Ahmad [2] applied model reference adaptive control to estimate braking distance by braking control. Song et al [3] applied backstepping control adaptively to traction and braking in the high speed railway. There is also a study on modelling and system identification of the braking system of urban rail vehicles [4].…”

Section: Introductionmentioning

confidence: 99%

Development and verification of accurate stopping control algorithm with scale models

Kim

Park

et al. 2016

WIT Transactions on the Built Environment

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Accurate stopping technology that is used to stop a train precisely at a desired position has been continuously studied. Recently, this technology has become more important as platform screen doors have been installed in metro stations for passenger safety. Various algorithms have been proposed for accurate stopping. However, it requires a lot of time and money to verify experimentally the performance of novel algorithms with actual trains. Hence, it is difficult to improve and verify control performance with newly proposed algorithms. To resolve this problem, we propose to build a test bed for the accurate stopping control using scale models of train and track. After analysing the acceleration and deceleration characteristics of a specified train that is going to be equipped with a novel proposed algorithm, an adjuster is added to make the acceleration and deceleration characteristics of the scale model be similar to those of the target train. System identification was also performed by analysing the step response with various step input to the scale model. In this study, feedforward with proportional and integral (PI) controller was proposed, where gain parameters were determined based on the system characteristics analysed by experiments. The structure of the test bed and the process of building the test bed for the accurate stopping control are described in this paper. Experiment results are also provided to show the performance of the proposed controller. By being tested with this test bed, an improved control algorithm for the accurate stopping is expected to be derived.

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Adaptive backstepping control of train systems with traction/braking dynamics and uncertain resistive forces

Cited by 59 publications

References 11 publications

Dealing with traction/braking failures in high speed trains via virtual parameter based adaptive fault-tolerant control method

Dealing with traction/braking failures in high speed trains via virtual parameter based adaptive fault-tolerant control method

Adaptive, compensating control of wheel slip in railway vehicles

Development and verification of accurate stopping control algorithm with scale models

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