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Comparative study between backstepping and backstepping sliding mode controller for suspension of vehicle with a magneto-rheological damper

Authors: Mohamed Belkacem; Kadda Zemalache Meguenni; Ismail Khalil Bousserhane;

Comparative study between backstepping and backstepping sliding mode controller for suspension of vehicle with a magneto-rheological damper

Abstract

The Suspensions are among the important components of vehicles, providing comfort for passengers and protecting the chassis and freight. They are normally provided with dampers that mitigate these harmful and uncomfortable vibrations. This work aims at investigating the potential of the use of the Magnetorheological Damper as a semi-active suspension for passenger vehicles to improve their ride dynamics and to, ensure their manipulability, and reduce unwanted vibrations levels. To achieve desired performances, a hybrid controller based on a backstepping-sliding mode control strategy is derived to increase the dynamic performance of the automotive suspension component and providing comfortable passenger traveling. Numerical simulation is used to test the efficiency of the proposed controller. The obtained results show that the proposed backstepping sliding mode controller is more efficient and robust against road profile excitation and external disturbances in comparison to a classical controller based on backstepping and sliding mode control.

Keywords

Sliding mode control, Semi-active control, Backstepping control, Vehicle suspension, Magneto-rheological damper, Backstepping-sliding mode control

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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