Researching optimal control design for active anti-roll bar system on automobiles

Abstract

    Road traffic accidents involving heavy vehicles often cause serious consequences on human lives as well as vehicles. In which rollover phenomenon is recorded with the most common occurrence for these vehicles. Currently most vehicles are equipped with the passive anti-roll bar system, but their disadvantages are not providing enough stable torque in emergency situations. Besides active safety systems such as suspension, brake and steering systems, the active anti-roll bar system is considered as one of the most effective solutions to improve the vehicle roll stability. In this study, the author proposes the two optimal controllers, LQR and LQG, for this active system, by providing two additional moments from actuators in the front and rear axles. For the purpose of meeting practical effectiveness in applying on real vehicles, the author uses a combination of Kalman-Bucy observer to determine the input signals for the controller. Simulation results show that the active anti-roll bar system can improve the roll stability over 30% when compared with vehicles using the passive suspension system