Robust yaw stability control for electric vehicles based on active front steering control through a steer-by-wire system

2012 ◽  
Vol 13 (7) ◽  
pp. 1169-1176 ◽  
Author(s):  
K. Nam ◽  
S. Oh ◽  
H. Fujimoto ◽  
Y. Hori
Author(s):  
Srivatsan Srinivasan ◽  
Matthias J. Schmid ◽  
Venkat N. Krovi

Abstract Incorporation of electronic yaw stabilization in on-road vehicles can take many forms. Although the most popular ones are differential braking and torque distribution, a potentially better alternative would be the inclusion of a controller into the steering process. However, this is not often pursued in mechanically-coupled steering systems since the controller could work against the driver’s intentions creating potential challenges to safety. The growing adoption of steer-by-wire (SbW) systems now in autonomous/semi-autonomous vehicles offers an opportunity to simplify the incorporation of such steering-controller based assistance. Most current steering-assistance systems focus either on adaptive steering control (adaptive power steering and gear ratios) or on total steering control in autopilot functions (lane keeping control). Such steering-controllers (incorporated via SbW modality) can improve driving performance and maneuverability and contribute to the overall suite of active-safety vehicle systems. In this study, we introduce a new pure-feedforward (open loop) controller for the steer-by-wire system based on the concept of reference shaping control aimed at reducing the vibration/oscillation caused in vehicles during fast (evasive) maneuvers.


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.


Author(s):  
Lingfeng Zhao ◽  
Qinxing Cao ◽  
Yanping Hu ◽  
Guang Xia ◽  
Jinfang Hu ◽  
...  

In this paper, a stability control method based on active front steering control is proposed to steer by wire system (SBW). The proposed control system consists of an inner-loop angle tracking controller and an outer-loop controller. The inner-loop controller contributes to front steering angle tracking, and it is designed by PID control. The outer-loop controller restrains the effect of disturbance by feeding a compensation steering angle, and it is designed by using Improved Active Disturbances Rejection Control (IADRC) with less adjusted parameters than Active Disturbances Rejection Control (ADRC). Finally, the effectiveness of the proposed method is evaluated via numerical simulation and vehicle test. The obtained results show that the proposed controller can improve the handling stability of the SBW system. To a certain extent, the study results promote the research and application of SBW system.


2014 ◽  
Vol 663 ◽  
pp. 127-134 ◽  
Author(s):  
M.H. Che Hasan ◽  
Y.M. Sam ◽  
Ke Mao Peng ◽  
Muhamad Khairi Aripin ◽  
Muhamad Fahezal Ismail

In this paper, Composite Nonlinear Feedback (CNF) is applied on Active Front Steering (AFS) system for vehicle yaw stability control in order to have an excellent transient response performance. The control method, which has linear and nonlinear parts that work concurrently capable to track reference signal very fast with minimum overshoot, fast settling time, and without exceed nature of actuator saturation limit. Beside, modelling of 7 degree of freedom for typical passenger car with magic formula to represent tyre nonlinearity behaviour is also presented to simulate controlled vehicle as close as possible with a real situation. An extensive computer simulation is performed with considering a various profile of cornering manoeuvres with external disturbance to evaluate its performance in different scenarios. The performance of the proposed controller is compared to conventional Proportional Integration and Derivative (PID) for effectiveness analysis.


2013 ◽  
Vol 765-767 ◽  
pp. 1903-1907
Author(s):  
Jie Wei ◽  
Guo Biao Shi ◽  
Yi Lin

This paper proposes using BP neural network PID to improve the yaw stability of the vehicle with active front steering system. A dynamic model of vehicle with active front steering is built firstly, and then the BP neural network PID controller is designed in detail. The controller generates the suitable steering angle so that the vehicle follows the target value of the yaw rate. The simulation at different conditions is carried out based on the fore established model. The simulation results show the BP neural network PID controller can improve the vehicles yaw stability effectively.


2007 ◽  
Vol 45 (9) ◽  
pp. 877-877 ◽  
Author(s):  
Y. Marumo ◽  
M. Nagai

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