A New Control Algorithm for Vehicle Stability Control

2008 ◽  
Author(s):  
Seyed Hossein Tamaddoni ◽  
Saied Taheri
Keyword(s):  
Control Algorithm ◽  
Degrees Of Freedom ◽  
Direct Method ◽  
Equations Of Motion ◽  
Stability Control ◽  
The Body ◽  
Vehicle Stability ◽  
Relaxation Length ◽  
New Approach ◽  
Vehicle Stability Control

A new control algorithm and the adaptation laws required for estimation of unknown vehicle parameters have been developed for vehicle stability control (VSC). This algorithm is based on the Lyapunov Direct Method. A vehicle model with two degrees of freedom (DOF) was used to develop the control algorithm. In developing the equations of motion for this simple model, a new approach for introducing the needed stabilizing forces and moments was developed. In addition, an eight DOF model was developed for control algorithm evaluation. The model includes lateral, longitudinal, yaw, and roll motions of the body plus the rotational DOFs for all of the four wheels. Also included in the model is a transient tire model taking into account the tire lateral relaxation length. Using the validated 8 DOF simulation model, the new control algorithm was evaluated and the results show the advantages of using such an approach for enhancing vehicle stability during emergency steering maneuvers.

scholarly journals Simulation analysis of efficiency and stability for vehicle’s ABS control on combined steering and braking maneuvers

2019 ◽  
Vol 272 ◽  
pp. 01024 ◽  
Author(s):  
Feng YU ◽  
Jun XIE
Keyword(s):  
High Speed ◽  
Control Algorithm ◽  
Degrees Of Freedom ◽  
Simulation Analysis ◽  
Stability Control ◽  
Vehicle Stability ◽  
Slip Ratio ◽  
Braking Performance ◽  
Braking System ◽  
The Stability

Eight degrees of freedom vehicle model was established. Using the method of fuzzy control, the ABS control algorithm was designed based on slip ratio. Simulation analysis was done at speed of 15m/s, 20m/s, 25m/s under turning braking. The results show that the vehicle braking performance and vehicle stability at middle or low speed was improved by using the ABS controller, but qualitative analysis shows that phenomenon of vehicle instability was appeared at high-speed conditions. The turning braking stability under ABS controller was judged quantificationally by the stability judging formula. The results show that the requirements of stability control could not meet with only Anti-lock Braking System.

Advanced Active Safety System Using Separated Front and Rear Motor Control for a 4WD Hybrid Electric Vehicle

2007 ◽  
Vol 120 ◽  
pp. 223-228
Author(s):  
Dong Hyun Kim ◽  
Sung Ho Hwang ◽  
Hyun Soo Kim
Keyword(s):  
Motor Control ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Stability Control ◽  
Vehicle Stability ◽  
Vehicle Stability Control ◽  
Hybrid Electric ◽  
Stability Enhancement ◽  
Yaw Moment

Vehicle stability in 4 wheel drive(4WD) vehicles has been pursued by torque split based technology and brake based technology. The brake based methods are essentially brake maneuver strategies using the active control of the individual wheel brake. By comparison, the torque split based technologies realize stability by varying the traction torque split through powertrain to create an offset yaw moment. In the 4WD hybrid electric vehicle adopting separate front and rear motor, the vehicle stability enhancement algorithm using the rear motor control has some advantages such as faster response, braking energy recuperation, etc. However, since the left and right wheels are controlled by the same driving and regenerative torque from one motor, stability enhancement only by the front and rear motor control has a limitation in satisfying the required offset yaw moment. Therefore, to obtain the demanded offset yaw moment, a brake force distribution at each wheel is required. In this paper, a vehicle stability control logic using the front and rear motor and electrohydraulic brake(EHB) is proposed for a 4WD hybrid electric vehicle. A fuzzy control algorithm is suggested to compensate the error of the sideslip angle and the yaw rate by generating the direct yaw moment. Performance of the vehicle stability control algorithm is evaluated using ADAMS and MATLAB Simulink co-simulation.

HIL Research of Vehicle Stability Control Algorithm Based on veDYNA

ICTIS 2013 ◽  
2013 ◽  
Author(s):  
Jiansen Yang ◽  
Zhanqi Li ◽  
Duanfeng Chu ◽  
Fei Li ◽  
Tianji Feng
Keyword(s):  
Control Algorithm ◽  
Stability Control ◽  
Vehicle Stability ◽  
Vehicle Stability Control

Novel Vehicle Stability Control Using Steer-by-Wire and Independent Four Wheel Torque Distribution

2003 ◽  
Author(s):  
Stefan Kueperkoch ◽  
Jasim Ahmed ◽  
Aleksandar Kojic´ ◽  
Jean-Pierre Hathout
Keyword(s):  
Control Algorithm ◽  
Stability Control ◽  
Front Wheel ◽  
Vehicle Stability ◽  
Actuator Failure ◽  
Torque Distribution ◽  
Vehicle Stability Control ◽  
Steer By Wire ◽  
Wheel Torque ◽  
Electrical Connections

The introduction of X-By-Wire technology opens new possibilities for vehicle stability control. This technology replaces the mechanical links currently existing between the driver and different actuators with electrical connections so that the driver can be decoupled from the control system. In this paper, we consider a X-By-Wire vehicle powered by four independent wheel motors and front wheel steer-by-wire. For such a vehicle, a control algorithm is developed that employs steering and individual wheel acceleration in addition to braking to enhance stability and improve performance. Such a vehicle offers advantages in case of actuator failure where the remaining actuators can act to ensure stability and we illustrate this in simulation using our control algorithm. Finally, we describe our experimental setup and present preliminary experimental results.

An Analytical Transient Tire Model

2001 ◽  
Vol 29 (2) ◽  
pp. 108-132 ◽  
Author(s):  
A. Ghazi Zadeh ◽  
A. Fahim
Keyword(s):  
Transient Behavior ◽  
Stability Control ◽  
Vehicle Stability ◽  
Tire Model ◽  
Steering Angle ◽  
First Order ◽  
Vehicle Stability Control ◽  
Proposed Model ◽  
Depth Study ◽  
And Performance

Abstract The dynamics of a vehicle's tires is a major contributor to the vehicle stability, control, and performance. A better understanding of the handling performance and lateral stability of the vehicle can be achieved by an in-depth study of the transient behavior of the tire. In this article, the transient response of the tire to a steering angle input is examined and an analytical second order tire model is proposed. This model provides a means for a better understanding of the transient behavior of the tire. The proposed model is also applied to a vehicle model and its performance is compared with a first order tire model.

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