FUZZY LOGIC VEHICLE DYNAMICS CONTROL-AN ADJUSTABLE ROBUSTNESS APPROACH

In this paper, a modified fuzzy logic control for integrated vehicle dynamics control is presented. This modification is based on incorporating of data exponential forgetting technique into the standard fuzzy controller. The introduced controller has the capacity to adjust the robustness of the fuzzy logic controller according to the operation system considering uncertainties and nonlinear characteristics of vehicle dynamics. The subsystems considered in the integrated control system are active steering control and direct yaw moment control. To show the efficiency of theproposed controllers and also to investigate the benefits of the modified fuzzy logic control over the standard fuzzy logic control schemes simulation during a severe lane change maneuver are executed. It is concluded that the proposed controller systems effectively improve the vehicle stability and handling performances, and also the simulation results show the advantages of modified controller compared to the standard form.

Keywords:

VEHICLE DYNAMICS CONTROL , INTEGRATED CONTROL , FUZZY LOGIC CONTROL , DATA EXPONENTIAL FORGRTTING