Affiliation:
1. School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000,China
Abstract
Background:
It is obvious that the safety concern associated with a vehicle is greatly valued
by all, whether it is now or in the future, the automobile safety issue is the hotspot and the focus of the
research by experts and scholars. The continuous increase in car ownership brings convenience to people's
life and also poses a threat to people's life and property. Vehicles’ active safety system is the hotspot
of current research and development, which plays an important role in automobile safety. Firstly,
the vehicle’s active safety technology and its development are introduced. Then, a review is carried out
examining the Anti-Lock Brake System (ABS), the Electronic Brake force Distribution (EBD/CBC),
the Brake Assist System (BAS/EBA/BA), the Traction Control System (TCS/ASR), the Vehicle Stability
Control (VSC/ESP/DSC), etc. At present, there are many patents on the control of each subsystem,
but few patents on the integrated control for the active safety of vehicles.
Objective:
The main contents of this paper are as follows: the control strategies and methods of different
active safety systems, the strategies to improve the stability of a vehicle control system and ensure
the effectiveness of active safety system control. It provides a reference for the development of active
safety control technology and patent.
Methods:
Through the analysis of different control algorithms and control strategies of Anti-lock and
braking force distribution systems, it is pointed out that the switching of EBD/ABS coordinated control
strategy according to slip rate can make full use of slip rate and road adhesion coefficient to improve
the safety of the system. For the BAS, the slip problem is solved through the combination of the Mechanical
Assistant Braking System (MABS) and Electronic Braking Assistant (EBA) system by measuring
the distance and the speed of the vehicle ahead. The optimal slip rate control is realized by different
control algorithms and control strategies of the traction control system. It is pointed out that the
adaptive fuzzy neural controller should be used to control the yaw angular velocity and centroid side
angle of the Electronic Stability Program (ESP), which has a good effect on maintaining vehicle stability.
A sliding mode variable structure controller combined with constant speed control and law control
is used to control the yaw moment.
Results:
Through the coordinated control strategy of EBD/ABS, the slip rate and road adhesion coefficient
were fully utilized by switching according to the slip rate. The problem of the sliding slope was
solved by MABS with EBA system. The ESP should use an adaptive fuzzy neural controller to control
the yaw angular velocity and centroid side angle, and adopt the joint sliding mode variable structure
controller which combines the ABS control and the yaw moment control. Through the optimal control
theory, the coordinated control of each subsystem can significantly improve driving stability, riding
comfort, fuel economy and so on.
Conclusion:
This study adopts different control strategies and control algorithms for different active
safety control systems and makes full use of the tire-road friction coefficient and slip ratio optimal slip
ratio. These focus on accurate control of control variables such as yawing angular velocity, centroid
side-slip angle, yawing moment and finally ensure the vehicle braking stability, robustness of the controller
and the lateral stability of the vehicle.
Funder
National Undergraduate Training Program for Innovation and Entrepreneurship
Natural Science Foundation of Henan Province of China
Key Scientific Technological and Project of Henan Province
Key Scientific Research Project of Henan Province
Publisher
Bentham Science Publishers Ltd.
Subject
General Materials Science
Reference119 articles.
1. Tan Z.F.; Liu Y.C.; Analysis on the impact of human behavior on road traffic safety. Forestry Construction 2005,1,30-33
2. Wang M.; Wang C.J.; The present situation and analysis of traffic safety of vulnerable traffic participants in China. Road Traffic and Safety 2010,10(4),9-14
3. Zhang Y.B.; Lu H.P.; Liu Q.; China’s road traffic safety situation and countermeasures. Changsha Institute of Transportation 2006,3,58-62
4. Gasmi A.; Boudali M-T.; Orjuela R.; Basset M.; Multi-criteria stability combination for yaw stability control of autonomous vehicles. IFAC-Papers OnLine 2019 2019,52(5),465-470
5. Ma X.; Wong P.K.; Zhao J.; Xie X.; Cornering stability control for vehicles with active front steering system using T-S fuzzy based sliding mode control strategy. Mech Syst Signal Process 2019,125(15),347-364
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献