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The aim of this study is to create an integrated controller between the active suspension system and an anti-lock braking system using fuzzy logic control theories to improve braking performance. Also, the ride performance during braking is investigated. Braking and ride performances for active are evaluated using half vehicle model. The suspension system, tyre-road interface and anti-lock braking system model are included in the model. The anti-lock braking system and active suspension is compared with the anti-lock braking system combining passive suspension. The simulation result obtained show that the active and ABS system with integrated controller reduces the braking time and distance in the range from 3% to 5% compared with the same system without integrated controller. Furthermore, anti-lock braking system and active suspension improves ride comfort and safety in vehicles compared with passive system.

Nowadays, the anti-lock braking system, briefly ABS, is an important component in modern cars. Therefore, in this paper the one of the intelligent control theories “Fuzzy Logic Control” is suggested to create two different ABS controllers. The braking performance was examined theoretically using half vehicle model. The suspension system model, tire-road interface model and anti-lock braking system model are included in the model. The influence of vehicle initial speed and tire-road friction coefficient is investigated. The simulation results of the proposed controllers are compared with the conventional ABS controller and the Conventional Brake system. The results showed that, using Fuzzy Logic Control in ABS improved the braking performance than the conventional ABS. Furthermore, the improvement in the braking performance using fuzzy logic control is obtained without any additional sensors, which leads the controller to be more realizable for the industry application.