@Article{2018.100000023,
AUTHOR = {Jinsong Dong, Hongwei Zhang, Ronghui Zhang, Xiaohong Jin, Fang Chen},
TITLE = {Optimal Learning Slip Ratio Control for Tractor-semitrailer Braking in a Turn based on Fuzzy Logic},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {3},
PAGES = {563--570},
URL = {http://www.techscience.com/iasc/v24n3/39781},
ISSN = {2326-005X},
ABSTRACT = {The research on braking performance a of tractor-semitrailer is a hard and 
difficult point in the field of vehicle reliability and safety technology. In this paper, 
the tire braking model and the dynamic characteristic model of the brake torque 
with the variable of the controlling air pressure were established. We also 
established a nonlinear kinematic model of the tractor-semitrailer when it brakes 
on a curve. The parameters and variables of the model were measured and 
determined by the road experiment test. The optimal control strategy for the 
tractor-semitrailer based on the optimal slipping ratio was proposed. Then the 
PID controller and the fuzzy controller were designed respectively. Simulation 
results show that the reasonable control strategy can significantly improve the 
braking directional stability when a tractor-semitrailer runs on a curving road. The 
research results provide technical references for improving the lateral stability 
when a tractor-semitrailer brakes on a curve, and it also provides a technical 
reference for the road traffic safety.},
DOI = {10.31209/2018.100000023}
}