A Review on Integrated Active Steering and Braking Control for Vehicle Yaw Stability System

2014 ◽  
Vol 71 (2) ◽  
Author(s):  
M.K. Aripin ◽  
Y. M. Sam ◽  
A. D. Kumeresan ◽  
M.F. Ismail ◽  
Peng Kemao

A review study on integrated active steering and braking control for vehicle yaw stability system is conducted and its finding is discussed in this paper. For road-vehicle dynamic, lateral dynamic control is important in order to determine the vehicle stability. The aw stability control system is the prominent approach for vehicle lateral dynamics where the actual yaw rate and sideslip should be tracked by the controller close to the desired response. To improve the performance of yaw stability control during steady state and critical driving conditions, a current approach using active control of integrated steering and braking could be implemented. This review study discusses the vehicle models, control objectives, control problems and propose control strategies for vehicle yaw stability control system. In the view of control system engineering, the transient performances of tracking control are essential. Based on the review, this paper discusses a basic concept of control strategy based on the composite nonlinear feedback (CNF) and sliding mode control (SMC) whichcan be proposed for integrated active steering and braking control in order to improve the transient performances of the yaw rate and sideslip tracking control in the presence of uncertainties and disturbances.

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
M. K. Aripin ◽  
Yahaya Md Sam ◽  
Kumeresan A. Danapalasingam ◽  
Kemao Peng ◽  
N. Hamzah ◽  
...  

Yaw stability control system plays a significant role in vehicle lateral dynamics in order to improve the vehicle handling and stability performances. However, not many researches have been focused on the transient performances improvement of vehicle yaw rate and sideslip tracking control. This paper reviews the vital elements for control system design of an active yaw stability control system; the vehicle dynamic models, control objectives, active chassis control, and control strategies with the focus on identifying suitable criteria for improved transient performances. Each element is discussed and compared in terms of their underlying theory, strengths, weaknesses, and applicability. Based on this, we conclude that the sliding mode control with nonlinear sliding surface based on composite nonlinear feedback is a potential control strategy for improving the transient performances of yaw rate and sideslip tracking control.


2014 ◽  
Vol 709 ◽  
pp. 331-334
Author(s):  
Man Hong Huang ◽  
Huan Shen ◽  
Yun Sheng Tan

In this paper, a vehicle stability control system is proposed to improve vehicle comfort, handling and stability. The control system includes reference model, DYC controller and Distributer. Reference model is used to obtain the desired yaw rate. DYC controller determines the desired yaw moment by means of sliding-mode technique. Distributer, based on maneuverability and comfort, distributes driving torque or braking torque according to the desired yaw rate. Simulation result shows that the proposed control algorithm can improve vehicle handling and stability effectively.


2017 ◽  
Author(s):  
Jianbo Lu ◽  
Li Xu ◽  
Daniel Eisele ◽  
Stephen Samuel ◽  
Matthew Rupp ◽  
...  

Author(s):  
Zheng-Gang Lu ◽  
Xiao-Jie Sun ◽  
Jun-Qi Yang

As the well-known difficulties are that feedback signals are not easy and economical measurement in practice for active control, this paper presents a study of state estimation for active control of independently rotating wheels (IRW) based on observers. The reduced-order observer and high-order sliding mode observer are used to provide reliable and accurate estimations of the wheel pair state and track curvature using practical sensors. This proposed method uses less sensors than the one of previous studies. Furthermore, lateral accelerator and yaw velocity sensors (gyros) are economical and available for active steering and stability control system to obtain the required feedback signals. The wheels’ relative rotational speed, track curvature and yaw angle of wheelsets are the feedback signals for IRW active control approach. Computer simulations are used to verify the effectiveness of proposed methods and assess control performance in stability and negotiation.


Author(s):  
Juan S. Núñez ◽  
Luis E. Muñoz

With the aim of prevent situations of vehicle instability against different driving maneuvers, the vehicle yaw stability becomes crucial for safe operation. This paper presents the design and simulation of a traction and a stability control system algorithms for independent four-wheel-driven electric vehicle. The stability control system consists of a multilevel algorithm divided into a high level controller and a low level controller. First, an analysis of the stability of the vehicle is performed using phase portraits analysis, both in open loop and closed loop. The stability control system is designed to generate a desired yaw moment according to the steady state cornering relationship with the steering angle input. As the test vehicle, a 14 DoF vehicle model is proposed including nonlinear tire models that allow the generation of combined forces. The vehicle model includes the powertrain dynamics. The yaw moment generation is performed using the traction and braking forces between the tires of each side of both front and rear axle. In order to generate the maximum traction forces in each of the wheels, a traction and a braking control is developed via a sliding mode controller scheme. Finally a performance comparison between a controlled and an uncontrolled vehicle is presented. The behavior of both vehicles is simulated using a classical double lane change driving maneuver.


Author(s):  
Dongliang Wang

In extreme weather condition, the electric vehicle yaw stability control accuracy is low. A new yaw stability control system for electric vehicle driven by hub motor is designed to simplify the hardware system design and improve the system response speed. The driving control module is used to analyse the driving state parameters of the vehicle and calculate the four-wheel moment to control the yaw stability of the vehicle, which is transmitted to the battery control module. The UDU in the control module adjusts the motor speed and power output in real time according to the vehicle power demand after analyzing the vehicle driving state data. In the software part of the system, the vehicle dynamic model is built and yaw stability control strategy is used to complete the vehicle yaw stability control. The experimental results show three important parameters of the designed system for evaluating the manoeuvrability tend to ideal values under the control of the system, in which yaw angular velocity is controlled from 0.277 rads to 0.286 rads and the difference between them is 0.002 and 0.011. The yaw stability control accuracy is also high.


2017 ◽  
Vol 137 (6) ◽  
pp. 434-445 ◽  
Author(s):  
Hiroshi Yoshida ◽  
Ryuji Tachi ◽  
Koya Takafuji ◽  
Hironori Imaeda ◽  
Masaru Takeishi ◽  
...  

2013 ◽  
Vol 133 (4) ◽  
pp. 313-323 ◽  
Author(s):  
Kuniaki Anzai ◽  
Kimihiko Shimomura ◽  
Soshi Yoshiyama ◽  
Hiroyuki Taguchi ◽  
Masaru Takeishi ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document