scholarly journals Coordinated Chassis Control of 4WD Vehicles Utilizing Differential Braking, Traction Distribution and Active Front Steering

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 81055-81068
Author(s):  
Jianbo Feng ◽  
Sizhong Chen ◽  
Zhiquan Qi
Keyword(s):  
Active Front Steering ◽  
Chassis Control ◽  
Traction Distribution

Integrated vehicle chassis control for active front steering and direct yaw moment control based on hierarchical structure

2018 ◽  
Vol 41 (9) ◽  
pp. 2428-2440 ◽  
Author(s):  
Jiaxu Zhang ◽  
Jing Li
Keyword(s):  
Sliding Mode ◽  
Null Space ◽  
Level Control ◽  
Direct Yaw Moment Control ◽  
Active Front Steering ◽  
Yaw Moment Control ◽  
Chassis Control ◽  
Moment Control ◽  
Vehicle Chassis ◽  
Yaw Moment

This paper presents an integrated vehicle chassis control (IVCC) strategy to improve vehicle handling and stability by coordinating active front steering (AFS) and direct yaw moment control (DYC) in a hierarchical way. In high-level control, the corrective yaw moment is calculated by the fast terminal sliding mode control (FTSMC) method, which may improve the transient response of the system, and a non-linear disturbance observer (NDO) is used to estimate and compensate for the model uncertainty and external disturbance to suppress the chattering of FTSMC. In low-level control, the null-space-based control reallocation method and inverse tyre model are utilized to transform the corrective yaw moment to the desired longitudinal slips and the steer angle increment of front wheels by considering the constraints of actuators and friction ellipse of each wheel. Finally, the performance of the proposed control strategy is verified through simulations of various manoeuvres based on vehicle dynamic software CarSim.

Integrated Control of Tire Normal Forces and Active Front Steering to Enhance Vehicle Handling

2005 ◽  
Author(s):  
Carl March ◽  
Taehyun Shim ◽  
Yi Zhang
Keyword(s):  
Normal Force ◽  
Integrated Control ◽  
Vehicle Handling ◽  
Normal Forces ◽  
Yaw Rate ◽  
Integrated Chassis Control ◽  
Active Front Steering ◽  
Management Scheme ◽  
Control Scheme ◽  
Chassis Control

This paper presents the development of an active front steering (AFS) control system and normal force control (NFC) scheme utilizing fuzzy reasoning to track neutral steer yaw rate. The performance of the stand-alone controllers is compared with an integrated chassis management scheme combining the two. The simulation results indicate that the NFC by the active suspension as a stand-alone system shows improvement in vehicle handling response. The integrated chassis control scheme utilizing the steering and suspension controllers is proven to be more effective in attaining the desired performance that would not be attained individually.

scholarly journals Integrated Chassis Control of Active Front Steering and Yaw Stability Control Based on Improved Inverse Nyquist Array Method

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Bing Zhu ◽  
Yizhou Chen ◽  
Jian Zhao
Keyword(s):  
Reference Model ◽  
Stability Control ◽  
Response Analysis ◽  
Vehicle Model ◽  
Stability Performance ◽  
Integrated Chassis Control ◽  
Active Front Steering ◽  
Yaw Stability ◽  
Chassis Control ◽  
The Stability

An integrated chassis control (ICC) system with active front steering (AFS) and yaw stability control (YSC) is introduced in this paper. The proposed ICC algorithm uses the improved Inverse Nyquist Array (INA) method based on a 2-degree-of-freedom (DOF) planar vehicle reference model to decouple the plant dynamics under different frequency bands, and the change of velocity and cornering stiffness were considered to calculate the analytical solution in the precompensator design so that the INA based algorithm runs well and fast on the nonlinear vehicle system. The stability of the system is guaranteed by dynamic compensator together with a proposed PI feedback controller. After the response analysis of the system on frequency domain and time domain, simulations under step steering maneuver were carried out using a 2-DOF vehicle model and a 14-DOF vehicle model by Matlab/Simulink. The results show that the system is decoupled and the vehicle handling and stability performance are significantly improved by the proposed method.

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