Open AccessStudy on the Stability of an Electronically Controlled Hydraulic Drive Vehicle Based on Sliding-mode Control and Fuzzy Control Algorithm
Author(s) -
Xiaoyong Zhu,
Qiang Wang,
Xiaohui He,
Maoqiang Du,
Yi-Nan Jiang Yun Sha
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1654/1/012036
Subject(s) - carsim , control theory (sociology) , matlab , stability (learning theory) , electronic stability control , sliding mode control , torque , fuzzy control system , fuzzy logic , mode (computer interface) , engineering , control engineering , computer science , automotive engineering , control (management) , vehicle dynamics , nonlinear system , artificial intelligence , physics , quantum mechanics , machine learning , thermodynamics , operating system
In order to improve the stability of an electronically controlled hydraulic drive four-wheel drive vehicle, a two-degree-of-freedom and seven-degree-of-freedom vehicle mathematical model was established and analyzed. The entire vehicle was obtained through the combination of sliding-mode control control and fuzzy algorithm Control, according to the dynamic force of the wheels, the torque distribution between the different wheels of the vehicle is adjusted. The stability control strategy of the electronically controlled hydraulic drive vehicle is verified through the joint simulation of MATLAB/simulink and Carsim. Analysis of working conditions shows the effectiveness of the proposed stability.