Improvement of Vehicle Lateral Dynamics by Active Front Steering Control

Author(s):  
W. A. H. Oraby ◽  
S. M. El-Demerdash ◽  
A. M. Selim ◽  
A. Faizz ◽  
D. A. Crolla
Author(s):  
Yan Wu ◽  
Lifang Wang ◽  
Junzhi Zhang ◽  
Fang Li

Due to the complicated driving conditions, the influence of the external disturbance and the system uncertainty, the traditional active front-steering control methods which are based on the exact mathematical model cannot meet the control requirements. This article presents a new active front-steering control strategy which is based on active disturbance rejection control for vehicle yaw stability control. The proposed controller can dynamically estimate and compensate the total disturbance, which enables it to provide good control performance in a range of conditions without the need for a sophisticated vehicle model. In this article, the implementation of the active disturbance rejection control–based yaw stability controller is introduced in detail, and the convergence of the extended state observer and the stability of the whole controller are theoretically proved. In order to verify the effectiveness of the proposed control strategy, a co-simulation environment is used to carry out real-time simulations on typical driving conditions to verify the performances of the proposed controller. The simulation results show that the proposed controller can effectively improve the yaw stability of the vehicle and has strong robustness.


2005 ◽  
Author(s):  
Yoshitaka Fujita ◽  
Yoshiaki Tsuchiya ◽  
Masato Suzumura ◽  
Takahiro Kojo

2005 ◽  
Author(s):  
Takahiro Kojo ◽  
Masato Suzumura ◽  
Yoshiaki Tsuchiya ◽  
Yoshikazu Hattori

2007 ◽  
Vol 129 (4) ◽  
pp. 393-403 ◽  
Author(s):  
Shiang-Lung Koo ◽  
Han-Shue Tan

Vehicle lateral dynamics depends heavily on the tire characteristics. Accordingly, a number of tire models were developed to capture the tire behaviors. Among them, the empirical tire models, generally obtained through lab tests, are commonly used in vehicle dynamics and control analyses. However, the empirical models often do not reflect the actual dynamic interactions between tire and vehicle under real operational environments, especially at low vehicle speeds. This paper proposes a dynamic-deflection tire model, which can be incorporated with any conventional vehicle model to accurately predict the resonant mode in the vehicle yaw motion as well as steering lag behavior at low speeds. A snowblower was tested as an example and the data gathered verified the predictions from the improved vehicle lateral model. The simulation results show that these often-ignored characteristics can significantly impact the steering control designs for vehicle lane-keeping maneuvers at low speeds.


Sign in / Sign up

Export Citation Format

Share Document