Open AccessThe algorithm of diagnosing the development of a skid when driving a two-axle vehicle
Author(s) -
A A Antonyan,
M. M. Zhileykin,
A. Eranosyan
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/820/1/012003
Subject(s) - axle , skid (aerodynamics) , controllability , kinematics , engineering , automotive engineering , center of gravity , computer science , control theory (sociology) , algorithm , structural engineering , artificial intelligence , mathematics , physics , management , control (management) , classical mechanics , economics
Vehicle controllability and stability are the most important operational properties and components of active traffic safety, improving these qualities around the world are given great importance. One of the major challenges when designing algorithms for active safetyvehicle systems is obtaining reliable information about the quantitative vehicle parametersvalues, allowing to judge how these parameters match the specified driver, to predict theemergencysituations incident moment and diagnose these situations (e.g., front or rear axles kidding, the tipping risk, etc.). One of the most common parameters used in practice, characterizing themultiaxial wheeled vehiclesmotion conditions, is thevectordeviation angle of the vehicle center of gravity (CoG) actual velocity from the vector of its theoretical (kinematic) speed. However, determining the actual velocity vector direction of the CoGis associated with great computational difficulties due to the need to build complex predictive Kalmanfilters. A method for determining the two-axle wheeled vehiclesmotion parameters to ensure the dynamic stabilization system operation, allowing reliable and economical diagnosis of skid front or rear axles of a two-axle vehicle.