Integrated control of front-wheel steering and front braking forces on the basis of fuzzy logic

Abstract

This paper presents a free model based fuzzy controller that integrates front steering control and front braking distribution forces to improve vehicle handling and stability. Thus, the yaw rate and the sideslip angle of the vehicle are controlled to follow their target values. The main advantages of fuzzy methods are their simplicity and their good performance in controlling non-linear systems. Simulation results show the effectiveness of the proposed control system during different manoeuvres (J-turn and change lane) and driving conditions (dry pavement and snow).handling. On the other hand, fuzzy logic control JAUTO124

Systematization of Integrated Motion Control of Ground Vehicles

“…Among other well-accepted approaches applied to the integration of the active steering and yaw moment control, the methods that are based on the fuzzy control [30]- [32] and the model-based/model-following control [33], [34] can be mentioned. The works related to the latter approach have pointed out its good performance for the control tasks, where not only the lateral stability but also the path tracking is of particular importance.…”

Dynamic modeling and simulation of a three-wheeled electric car

“…Detailed description of tire-ground friction is given in [2]. Lateral and longitudinal car dynamics modeling can be found in [3] (control of yaw dynamics), [4](bounding lateral motion for lane keeping), [5] (control of front-wheel steering and breaking forces) and many others. Detailed suspension description and modeling of four wheeled vehicles used for active suspension control is given in [6][7][8][9].…”

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