Adaptive Sliding Mode Control of Adhesion Force in Railway Rolling Stocks

Kim, Jong Shik; Park, Sung Hwan; Choi, Jin-Ah; Yamazaki, Hiroki

doi:10.5772/14834

Cited by 1 publication

(1 citation statement)

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“…The ultimate boundedness with time-varying disturbance and the finite-time convergence without disturbance of this algorithm has been proved. Shik et al 42 have developed an adaptive sliding mode wheel slip brake control system based on the test rig verified beam and bristle dynamical contact/friction model, which considers system uncertainties such as traveling resistance, disturbance torque, and variation of the adhesion force with respect to the slip ratio and track conditions. Gessl et al 43 have developed an adhesion control method that copes with a large and sudden variation of the adhesion coefficients even in a wide speed range, but the disadvantage of this method is that it only limits the motor torque, and it does not guarantee maximum adhesion force when the train is trapped in local maximum point of the characteristic curve.…”

Section: Introductionmentioning

confidence: 99%

Comparison of the re-adhesion control strategies in high-speed train

Uyulan

Gökaşan

Boğosyan

2017

Proceedings of the Institution of Mechanical Engineers, Part I:

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Excessive driving force applied to the trains leads to an inadequate utilization of the adhesion phenomenon occurred at the wheel-rail contact, and an unnecessary power consumption, while inadequate driving force causes the train to run inefficiently. For this reason, the necessity of re-adhesion control in the safe and reliable operation, in the balance of energy consumption, is indisputable. A comparison of the two re-adhesion control strategies, one of which is robust adaptive and the other of which is the modified super-twisting sliding mode, has been presented in this article. These control algorithms developed suppress the wheel slip on time and maintain optimal traction performance after readhesion under the nonlinear properties of the traction system and the uncertainties of the adhesion level at the wheelrail interface. Due to the complex nonlinear relationship between the adhesion force and the slip angular velocity, such a problem becomes a hard problem to overcome as long as the optimal slip ratio is not known. An optimal search strategy has also been developed to estimate and to track the desired slip angular velocity. By means of the proposed strategies, the traction motor control torque is automatically adjusted so as to ensure that the train operates away from the unstable slip zone but adjacent to the optimal adhesion region, and the desired traction capability is attainable once adhesion is regained. Mathematical analyzes are also provided to ensure the ultimate boundedness of the algorithms developed. The effectiveness of the proposed re-adhesion strategies is validated through the theoretical analysis and numerical simulations conducted in MATLAB and Simulink. As a result of consecutive simulations, modified supertwisting algorithm has shown better performance as compared to the robust adaptive one in tracking the optimal slip velocity as wheel-rail contact conditions switch suddenly.

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Section: Introductionmentioning

confidence: 99%