Slip Ratio Control in Rail Vehicle Braking with Sliding Mode Control Method

Ma, Tianhe; Wu, Meihong; Tian, Chun

doi:10.1109/icite50838.2020.9231461

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…High-speed trains play an important role in rail transit and have high safety requirements. The train running on the open track is inevitably affected by environmental factors such as rain, snow and fallen leaves, which leads to the deterioration of wheel-rail adhesion conditions [1]. When the rail surface condition is poor, the traction torque of the wheel exceeds the maximum adhesion between the wheel and rail, which will produce slipping, resulting in wheel-rail scrapes, and even endanger driving safety in serious cases, resulting in a large number of life and property losses.…”

Section: Introductionmentioning

confidence: 99%

Anti-slip optimization control strategy for high-speed train

Yang,

Huang,

Dai

et al. 2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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In response to the problem of low adhesion utilization in traditional anti-slip control, this paper designs an anti-slip optimization control strategy for high-speed train. The full-order closed-loop state observer is used to estimate the rail surface adhesion coefficient in real time, and the real-time search of adhesion peak point is realized by combining slip velocity and other information. The sliding mode control algorithm dynamically adjusts the motor torque to track the maximum adhesion point, which improves the robustness of the system. A sliding mode control algorithm based on Power Rate Exponential Reaching Law (PRERL) is proposed to address the chattering problem of traditional sliding mode controllers. Simulation verification was conducted on the MATLAB/Simulink model, and the results showed that the proposed anti-slip control strategy had good control effect and achieved the high adhesion utilization.

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Section: Introductionmentioning

confidence: 99%

Anti-slip optimization control strategy for high-speed train

Yang,

Huang,

Dai

et al. 2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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show abstract

“…The literature [26][27][28][29] presents the acquisition and control methods of the optimal slip ratio. Sliding mode control and other methods [30][31][32] are used to continuously control the slip ratio in closed loop. In [33], a PI-based and fuzzy-logic-based sliding mode controller in locomotive traction adhesion control were compared, and it was found that the fuzzy-logic-based controller had a better performance at handling changes in the wheel-rail contact conditions.…”

Section: Introductionmentioning

confidence: 99%

A 4-Phase Combined Adhesion Threshold Algorithm for Wheel Slide Protection Systems in Rail Vehicles

Ma,

Tian,

et al. 2024

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The wheel slide protection control system for rail vehicles plays a crucial role in ensuring a consistent braking performance in all operating environments, making it a vital factor in the safety and efficiency of rail transportation. In this paper, a hybrid approach to wheel slide protection control is presented, which combines the rule-based control strategy and the model-based control methods using adhesion force estimation. Model-based control usually relies on mathematical models to characterize the vehicle dynamics, requiring online estimators to be designed or extra sensors to be added for practical application. Rule-based control operates on predefined rules and thresholds and the available data from vehicles in service. A comparative test was conducted between the traditional rule-based control strategy and the proposed combined control strategy using a semi-physical simulation test bench. The performance differences of the control strategies were analyzed from two perspectives: adhesion utilization and air consumption. It was observed that among the traditional 2-phase, 3-phase, 4-phase and the optimized 4-phase combined control method, the combined control strategy has the best adhesion utilization and the traditional 4-phase control strategy has the least air consumption.

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Analysis of Longitudinal Rail Vehicle Dynamic and Design of Controller for Slip/Slide Protection

Roikrong,

Deelertpaiboon

2023

2023 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)

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Slip Ratio Control in Rail Vehicle Braking with Sliding Mode Control Method

Cited by 3 publications

References 7 publications

Anti-slip optimization control strategy for high-speed train

Anti-slip optimization control strategy for high-speed train

A 4-Phase Combined Adhesion Threshold Algorithm for Wheel Slide Protection Systems in Rail Vehicles

Analysis of Longitudinal Rail Vehicle Dynamic and Design of Controller for Slip/Slide Protection

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