Verification of Control Algorithm for Improving the Lateral Restoration Performance of an Independently Rotating Wheel Type Railway Vehicle

Cho, Yonho

doi:10.1007/s12541-020-00346-4

Cited by 5 publications

(5 citation statements)

References 20 publications

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“…The main problem for these vehicles is that their curving ability and stability is worse than the ones with solid axle wheelsets due to lack of yaw moments and restoring lateral forces. In order to overcome this issue, several controllers are proposed for IRW in the literature [61][62][63][64]. Either active elements [61,63] or individual torque control for wheels [62,64] are considered for this purpose.…”

Section: Resultsmentioning

confidence: 99%

“…In order to overcome this issue, several controllers are proposed for IRW in the literature [61][62][63][64]. Either active elements [61,63] or individual torque control for wheels [62,64] are considered for this purpose. In addition, integration of both individual torque control and active elements was investigated [61].…”

Section: Resultsmentioning

confidence: 99%

“…If there is insufficient adhesion to apply required torque, then, the slip controller limits the torque. However, when used along with the proposed controller, such individual torque controllers can adjust the torque values of other wheels based on speed or torque difference of left and right motors [61,63,64].…”

Section: Resultsmentioning

confidence: 99%

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A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence

Zirek

Onat

2020

Rail. Eng. Science

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Anti-slip control systems are essential for railway vehicle systems with traction. In order to propose an effective anti-slip control system, adhesion information between wheel and rail can be useful. However, direct measurement or observation of adhesion condition for a railway vehicle in operation is quite demanding. Therefore, a proportional–integral controller, which operates simultaneously with a recently proposed swarm intelligence-based adhesion estimation algorithm, is proposed in this study. This approach provides determination of the adhesion optimum on the adhesion-slip curve so that a reference slip value for the controller can be determined according to the adhesion conditions between wheel and rail. To validate the methodology, a tram wheel test stand with an independently rotating wheel, which is a model of some low floor trams produced in Czechia, is considered. Results reveal that this new approach is more effective than a conventional controller without adhesion condition estimation.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence

Zirek

Onat

2020

Rail. Eng. Science

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“…Generally speaking, a larger critical speed means that the train is more stable. In this simulation, the MRE joint model built in section 4 is integrated into a 10 degree of freedom (DOF) dynamic bogie model from [36] to evaluate the performance of MRE joint on improving the stability of trains. The details of the bogie model are given in the appendix.…”

Section: Stability Evaluationmentioning

confidence: 99%

“…A 10-degree of freedom (DOF) bogie model is employed to evaluate the stability when the trains operate at high speed. Compared to classical bogie model presented in [36], the phenomenon model of MRE joint is integrated into the bogie model for more accurate simulations. It contains a trunk frame and two wheelsets.…”

Section: Data Availability Statementmentioning

confidence: 99%

Development of a magnetorheological elastomer rubber joint with fail-safe characteristics for high-speed trains

Gong¹,

Sun²,

Yang³

et al. 2022

Smart Mater. Struct.

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The stiffness of the train’s rubber joint at the primary suspension system has a crucial influence on the operation stability and curve-passing performance. As traditional rubber joint only provides unadjustable parameters, they cannot meet the conflicting stiffness requirements when the train is running at high speed on straight track and passing through the curve track. To solve this problem, this paper proposed a new rubber joint with fail-safe characteristics based on magnetorheological elastomer (MRE). The joint stiffness is controlled by a hybrid magnetic field generated by permanent magnets and electromagnets. With this hybrid magnetic field, the initial stiffness of the MRE joint can be designed to be hard so as to suppress the hunting motions and vibrations of wheelsets and thus keep the trains’ high-speed stability; furthermore, the stiffness can decrease by energizing the electromagnets when passing through a curve track. With this characteristic, the joint can guarantee the safety of the train at high operation speed even when the joint control system fails. The prototype of the MRE joint was fabricated and assembled. Stiffness controllability of the MRE joint was tested using an MTS machine. The result reveals that the stiffness of this MRE joint can be controlled effectively. According to the testing results, a new phenomenological model was built to predict the joint’s dynamic performance. Then this established model was integrated into dynamic models of trains to numerically evaluate the new joint’s influence on the train’s stability and trafficability. The evaluation result shows that the proposed MRE joint is fully effective on providing controllable stiffness to satisfy the conflicting stiffness requirement with fail-safe characteristics.

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Torque Distribution Control of Trains Equipped with Driven Independently Rotating Wheels for Guidance Control and Adhesion Control

Lin,

Fang,

et al. 2023

2023 IEEE 3rd International Conference on Industrial Electronics for Sustainable Energy Systems (IESES)

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Verification of Control Algorithm for Improving the Lateral Restoration Performance of an Independently Rotating Wheel Type Railway Vehicle

Cited by 5 publications

References 20 publications

A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence

A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence

Development of a magnetorheological elastomer rubber joint with fail-safe characteristics for high-speed trains

Torque Distribution Control of Trains Equipped with Driven Independently Rotating Wheels for Guidance Control and Adhesion Control

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