원문정보
초록
영어
In this paper, a modified fuzzy logic control for integrated vehicle dynamics control is presented. This modification is derived from incorporating data exponential forgetting technique into the standard fuzzy controller. The proposed controller is capable of adjusting the robustness of the fuzzy logic controller based on operating conditions, considering uncertainties and nonlinear characteristics of vehicle dynamics. The controller uses yaw rate and side slip angle errors and their integrals as inputs in order to compute the total yaw moment and lateral force required for desired responses. The subsystems considered in the integrated control system are active steering and direct yaw moment controls. To show the efficiency of the proposed controller and also to investigate the benefits of the modified controller over the standard fuzzy logic control schemes simulation during a severe lane change maneuver are executed. Simulation results reveal that the proposed controller can effectively enhance the vehicle stability and handling performances, and also show the advantages of modified controller compared to the standard form.
목차
1. Introduction
2. Vehicle and Tire Model
2.1. 9DOF non-linear vehicle simulation model
2.2. Tire model and wheel dynamics
3. Controller Design
3.1. Reference generator
3.2. Yaw-rate and side-slip angle control
3.3. Modification of the vehicle dynamics controller
4. Actuatator Redundency Management
4.1. Objective function subject to inequality constraints
5. Simulation Results
6. Conclusion
References