Implementation of Active-Anti Roll Bar Control System to A 3-Axle Double-Decker Bus

Abstract

Double-decker buses have the potential to save space in the traffic, but their center of gravity is high, which will cause a higher roll angle and roll rate of the vehicle. In this paper, the existing control system of active anti-roll bar will be tuned, implemented and modified to specific for double-decker buses. A Full car, 3-axle mathematical model consisting of 20 degree of freedom (DOF) was modeled and simulated within Matlab/Simulink environment. The controller used is a self-tuning fuzzy logic PID controller. A series of scenario will be tested which are half bump, U-turn, double lane change (ISO3888-1) and moose test (ISO3888-2). For all the tests, main priority of performance improvement will be focus on roll angle, roll rate, bounce motion and lateral accelerations. On average, active anti-roll bar (ARB) is able to improve the performance up to at least 90% compared to passive ARB, however lateral acceleration will be scarified by about 2.22% on average. Such small degradation on lateral accelerations performances on a double-decker bus will not affect a safety negatively due to slower speed of the vehicle.