Simulation shows performance enhancement in rollover prevention using a fuzzy logic controller in vehicles.
Instances of excessive vehicle roll is a critical issue in vehicle safety since it reduces roll stability, comfort and handling of the vehicle. The rotation of tire is regarded as either a source of excitation or a conduit for vibrations to reach the steering system. The suspension and tie rods transmit the dynamic forces to the steering system from tire, which creates a vehicle dynamic imbalance. Though the active suspension system (ASS) controls the rollover, a significant amount of energy is needed to pump the high-pressure fluid into the ASS chambers. The energy needed to achieve variable damping force is obtained via the proposed roll interconnected semi active suspension system (RISAS). Variable damping levels are attained through the utilization of a directional control valve (DCV) in instances where suspension operation takes place. Pressure developed during suspension compression/expansion will be used instead of external pressure source to supply the fluid into the RISAS chambers. A fuzzy logic controller (FLC) regulates the quantity of fluid that passes through the DCV, where roll angle and its derivative are used as input for FLC. In order to evaluate the roll-resistant effectiveness of the proposed RISAS, double lane change maneuver (DLC) simulation was performed with 14 degrees of freedom (DOF) vehicle model in Matlab/Simulink software. Load transfer ratio (LTR) of the proposed system provides 53.6% performance enhancement than passive suspension without anti-roll bar (WO-ARB). Similarly, the roll angle of RISAS system provides 56.8% performance improvement than WO-ARB.
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Palanirasan et al. (2025) studied this question.
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