Robust model predictive anti-slip controller and speed profile tracking of an electric train based on LMI approach

Molavi, Ali; Fathabadi, Fatemeh Rashidi

doi:10.1007/s40435-022-00931-7

Cited by 5 publications

(1 citation statement)

References 37 publications

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“…Additionally, advanced slip control techniques using model predictive control and adhesion swarm intelligence can be found in [21]- [25]. Though these methods show good adhesion performance, they either lack experimental validation [22]- [24] or suffer from implementation complexity and high computational burden [21], [25].…”

Section: Introductionmentioning

confidence: 99%

Torsional Vibration Suppression in Railway Traction Drives

et al. 2022

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Torsional vibrations phenomena are self-excited vibrations that occur in the wheelset of railway powertrains due to the counter-phase oscillation of both wheels. Long-lasting events of this type may lead to the catastrophic failures. Therefore, torsional vibration suppression and mitigation methods have drawn significant attention from the railway industry in the recent few years. Conventional vibration suppression methods reduce motor torque once the oscillation is detected. However, this can result in trip delays. Design of methods which do not compromise the traction capability is challenging. This paper proposes a novel torsional vibration suppression method using a Proportional-Resonant (PR) controller. The proposed method is insensitive to mechanical drive-train parameter variation neither requires adding new sensors to the wheelset. The method requires previous knowledge of the natural frequency of the wheelset torsional mode but this significantly reduces the implementation complexity suffered by other anti-vibration methods. Furthermore, the method will be shown to provide reduced sensitivity to slip velocities and wheelrail conditions.INDEX TERMS Railway traction drives, torsional vibrations, slip-stick phenomenon, slip control, fieldoriented control, proportional-resonant controller.

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