Algorithm for Calculating Torque Base in Vehicle Traction Control System

Existing research on the traction control system（TCS） mainly focuses on control methods, such as the PID control, fuzzy logic control, etc, aiming at achieving an ideal slip rate of the drive wheel over long control periods. The initial output of the TCS （referred to as the torque base in this paper...

Full description

Saved in:
Bibliographic Details
Published in:Chinese journal of mechanical engineering 2012-11, Vol.25 (6), p.1130-1137
Main Authors: Li, Hongzhi, Li, Liang, Song, Jian, Wu, Kaihui, Qiao, Yanjuan, Liu, Xingchun, Xia, Yongguang
Format: Article
Language:chi ; eng
Subjects:
Algorithms
Computer simulation
Confidence intervals
Control methods
Electrical Machines and Networks
Electronics and Microelectronics
Engineering
Engineering Thermodynamics
Fuzzy control
Fuzzy logic
Hardware-in-the-loop simulation
Heat and Mass Transfer
Impact strength
Instrumentation
Machines
Manufacturing
Mathematical analysis
Mechanical Engineering
Performance enhancement
PID控制
Power Electronics
Processes
Product design
Proportional integral derivative
Theoretical and Applied Mechanics
Torque
Traction control systems
Traffic speed
控制周期
汽车
牵引力控制系统
计算
车辆测试
转矩
验证算法
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Existing research on the traction control system（TCS） mainly focuses on control methods, such as the PID control, fuzzy logic control, etc, aiming at achieving an ideal slip rate of the drive wheel over long control periods. The initial output of the TCS （referred to as the torque base in this paper）, which has a great impact on the driving performance of the vehicle in early cycles, remains to be investigated. In order to improve the control performance of the TCS in the first several cycles, an algorithm is proposed to determine the torque base. First, torque bases are calculated by two different methods, one based on states judgment and the other based on the vehicle dynamics. The confidence level of the torque base calculated based on the vehicle dynamics is also obtained. The final torque base is then determined based on the two torque bases and the confidence level. Hardware-in-the-loop（HIL） simulation and vehicle tests emulating sudden start on low friction roads have been conducted to verify the proposed algorithm. The control performance of a PID-controlled TCS with and without the proposed torque base algorithm is compared, showing that the proposed algorithm improves the performance of the TCS over the first several cycles and enhances about 5% vehicle speed by contrast. The proposed research provides a more proper initial value for TCS control, and improves the performance of the first several control cycles of the TCS.
ISSN:1000-9345
2192-8258
DOI:10.3901/CJME.2012.06.1130