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This paper deals with an active roll controller (ARC) of a load-dependent LCV (light commercial vehicle), since they are frequently inclined in rollover accidents because of the high CG (centre of gravity), inaccurate loading. Therefore, nowadays electronic stability program (ESP) function has also been integrated in them. The ARC algorithm was realized, depending on an equivalent active torque formation by an actuator against the existing roll moment in the opposite direction to stabilize and/or avoid the roll and/or rollover, simulated to assess objectively.

In this paper, an active anti-roll bar system has been created. A nonlinear rollover model on a Yaw/Roll model with nonlinear tire is used to describe the vehicle dynamics for a quasi LCV (Light Commercial Vehicle) and its rollover prevention system, and the rollover predictor based on a Time-To-Rollover (TTR) Index have been investigated. Also, anti rollover controller has been implemented. Modeled system has been tested for its roll stability under various maneuvers. In the behavior of the vehicle with active anti-roll bar the vehicle roll angle is reduced and limited a safe range. According to Human Machine Interface theory, when a person drives he/she reacts due to his/her feeling inputs from the environment, so this results a closed loop control. For this scope, also a human perception model and a washout algorithm have been realized to clarify how the human perceives roll instability maneuvers.