Ride comfort analysis of passenger body biodynamics in active quarter car model using adaptive neuro-fuzzy inference system based super twisting sliding mode control

Abstract

In this paper, a four degrees of freedom biodynamic human body model is used for ride comfort analysis, which is coupled with a three degrees of freedom quarter car model. The random road profile is generated in a simulation environment using the ISO 8608:2016 standard. In order to suppress the adverse effects of road induced vibrations on the human body, a super-twisting sliding mode control (STSMC) and adaptive neuro-fuzzy inference system (ANFIS) based super-twisting sliding mode control (ASTSMC) strategy is used in the main suspension of the active quarter car model. The ride comfort response of the human body segments is compared for passive and active suspension systems using the ISO 2631-1:1997 standard. Based on the simulation results in time and frequency domain related to acceleration and displacement response for head and neck, upper torso, viscera and lower torso, it is shown that the ride comfort provided by the ASTSMC controller is much improved compared to the STSMC and passive control method. It can be finalized from the present research work that active suspension with the ASTSMC control strategy can successfully reduce the adverse effects of road induced vibrations on human body health and safety.

Keywords

Quarter car model adaptive neuro-fuzzy inference system model super-twisting sliding mode control whole body vibrations lumped parameter model ride comfort

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