Disturbance observer-based sliding mode control of active vertical suspension for high-speed rail vehicles

Shi, Huailong; Zeng, Jing; Guo, Jinying

doi:10.1080/00423114.2024.2305296

Cited by 18 publications

(4 citation statements)

References 34 publications

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“…On the other hand, the literature shows that damping forces can be crucial to vehicle dynamics. An example is a recent vertical dynamics study [34] for high-speed rail where comfort issues for vehicles running up to 400 km/h on a track with vertical irregularities were tested. It confirmed that when considerable vertical dynamical interactions between the vehicle and the track exist and are of interest, the influence of the vertical load on the damping forces (dry friction dampers) should be as accurate as possible.…”

Section: The Approach To Stability and The Corresponding Modelmentioning

confidence: 99%

“…Additionally, in such circumstances, the well-known and commonly applied assumption easily holds that the couplings between the rail vehicle's lateral and vertical dynamics are insignificant. Then, analyses can be carried out separately for the lateral and vertical directions, e.g., [10,14,15,24,33,34]. In practice, no mutual influences of vertical and lateral dynamical solutions can be observed.…”

Section: The Approach To Stability and The Corresponding Modelmentioning

confidence: 99%

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The Nonlinear Lateral Stability of a Four-Axle Freight Car with Y25 Bogies and Measures to Improve Its Faults

Dusza,

Golofit-Stawinska,

Zboinski

2024

Applied Sciences

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This paper presents investigations of rail vehicle bogies of the Y25 type. The Y25 bogie family is one of the most commonly used freight car bogie designs. In addition to several significant advantages characterising this design, several disadvantages have also been observed since the beginning of more than fifty years of its operation in several types of cargo vehicles. One of these defects observed in real systems is its “unsatisfactory running stability”, particularly for long straight tracks. This paper used the commercial engineering software VI-Rail (2010.13.0) to create a model of a gondola car (type 412W Eaos) with two Y25 bogies. The car model was tested in empty and loaded (maximum permissible load) modes. Its motion along straight and curved tracks with different radii values was analysed. The vehicle velocity was changed from a few m/s to the maximum values for which stable solutions of the model existed. For each route, the nonlinear critical velocity was determined, defining the maximum operating velocity of the modelled car. The model solutions were recorded, while just one was selected to present the results—the first wheelset’s lateral displacement ylw. Conjecture about its “imperfect running quality” on curved tracks was confirmed. The possible appearance of self-exciting wheelset vibrations in the modelled car’s operating velocity range in a laden state was also observed. The research results on the impact of changes in the bogie suspension parameters on the vehicle model’s stability are presented. The crucial parameter in the bogie suspension was indicated. Reducing its value by several percent about the nominal value increases the critical velocity of the car to values higher than the maximum operating velocity of the modelled vehicle.

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Section: The Approach To Stability and The Corresponding Modelmentioning

confidence: 99%

Section: The Approach To Stability and The Corresponding Modelmentioning

confidence: 99%

The Nonlinear Lateral Stability of a Four-Axle Freight Car with Y25 Bogies and Measures to Improve Its Faults

Dusza,

Golofit-Stawinska,

Zboinski

2024

Applied Sciences

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“…Uyulan [ 15 ] established a 12-degree-of-freedom bogie model and an 8-degree-of-freedom dual wheelset model and utilized Lyapunov’s indirect method to investigate the bifurcation characteristics on curved tracks. To enhance the hunting stability of railway vehicles, methods such as electrically adjustable suspension, active and semi-active control, and adaptive suspension parameters have been proven to be feasible [ 16 , 17 , 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation of Bogie Hunting Instability for Railway Vehicles Based on Multiple Sensors

Zheng,

Wei,

Zeng

et al. 2024

Sensors

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Bogie hunting instability is one of the common faults in railway vehicles. It not only affects ride comfort but also threatens operational safety. Due to the lower operating speed of metro vehicles, their bogie hunting stability is often overlooked. However, as wheel tread wear increases, metro vehicles with high conicity wheel–rail contact can also experience bogie hunting instability. In order to enhance the operational safety of metro vehicles, this paper conducts field tests and simulation calculations to study the bogie hunting instability behavior of metro vehicles and proposes corresponding solutions from the perspective of wheel–rail contact relationships. Acceleration and displacement sensors are installed on metro vehicles to collect data, which are processed in real time in 2 s intervals. The lateral acceleration of the frame is analyzed to determine if bogie hunting instability has occurred. Based on calculated safety indicators, it is determined whether deceleration is necessary to ensure the safety of vehicle operation. For metro vehicles in the later stages of wheel wear (after 300,000 km), the stability of their bogies should be monitored in real time. To improve the stability of metro vehicle bogies while ensuring the longevity of wheelsets, metro vehicle wheel treads should be reprofiled regularly, with a recommended reprofiling interval of 350,000 km.

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“…The wheel wear will deteriorate the dynamic performance of intercity EMUs, and affect the operation safety, components fatigue and operation economy. [5][6][7][8][9] Therefore, it is necessary to design the wheel profile of intercity EMUs to improve dynamic performance and reduce wear.…”

Section: Introductionmentioning

confidence: 99%

Wheel profile optimization for intercity EMUs based on the Gaussian function correction method

Hou,

Qi,

Chi

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part F:

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Intercity EMUs are prone to wheel flange wear and tread wear due to the high operating speed and many small radius curved tracks. The problems caused by wheel wear have seriously affected the safety of high-speed railway operations in China. In this paper, based on the original LMA wheel profile, the Gaussian function correction (GFC) method is proposed to design the wheel profile. The GFC method mainly changes the root region of the wheel flange, to enhance the curve passing performance and reduce wheel wear of the vehicle. The optimal profile is optimized by the Kriging surrogate model (KSM) and the whale optimization algorithm (WOA). The wheel-rail contact characteristics, dynamic characteristics and the wheel wear of the wheel profiles before and after optimization are simulated and analyzed. The results show that the equivalent conicity of the optimized profile is reduced; the critical speed is increased by 9.3 km/h, the lateral ride index and comfort index of the vehicle are further reduced. The curve passing performance is also improved, the wheel-rail wear of the optimized profile is further reduced and the maximum wear depth of the wheels before and after optimization is 43.4e-9m and 34.1e-9m on the curved track with a radius of 500m, which is reduced by 21.43%. This method provides a reference and basis for wheel profile design and profile re-profiling of intercity EMUs.

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Disturbance observer-based sliding mode control of active vertical suspension for high-speed rail vehicles

Cited by 18 publications

References 34 publications

The Nonlinear Lateral Stability of a Four-Axle Freight Car with Y25 Bogies and Measures to Improve Its Faults

The Nonlinear Lateral Stability of a Four-Axle Freight Car with Y25 Bogies and Measures to Improve Its Faults

Experimental and Numerical Investigation of Bogie Hunting Instability for Railway Vehicles Based on Multiple Sensors

Wheel profile optimization for intercity EMUs based on the Gaussian function correction method

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