Experimental system of safe distances and vehicle speed dynamic stabilization

International Automobile Scientific Forum, Intelligent Transport System Technologies and Components

Buznikov, S.E.^1 ; Elkin, D.S.^1 ; Saikin, A.M.^1 ; Strukov, V.O.^1

FSUE NAMI, Moscow, Russia^1

关键词: Collisions prevention;    Indirect measurements;    Integrated intelligent systems;    Modern control theory;    Quadratic functionals;    Scientific substantiation;    Sensors and actuators;    Traffic safety problems;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/534/1/012017/pdf
DOI  :  10.1088/1757-899X/534/1/012017

来源: IOP

【 摘 要 】

One of the most promising direction for improving the level of traffic safety is various active safety systems creation. This area is intensively developed by leading foreign automakers and it is not complete. The relevance of researches aimed at effective active safety systems creating is determined by the world importance level of the traffic safety problem. Current study aims at the scientific substantiation of new technical solutions for the integrated vehicle active safety intelligent system. To conduct the research system analysis methods and modern control theory were used. The problem of structured set typical collisions prevention is reduced to the problem of vehicle state variables dynamic stabilization. The obtained result is the new technical solution scientific substantiation for the integrated intelligent system that combines the functions from several active safety systems. The high limit of the mass center velocity is defined as the minimum speed of the obstacle, wheels understeer or oversteer, turnover, slippage of the driving wheels and speed limits set by road signs, etc. To assess the control quality a modified quadratic functional is used that takes into account the operation costs as well as the software hardware initial cost. Analysis of the study results allows us to conclude that the intellectual properties developed by the system are acquired through the use of mathematical models and algorithms for indirect measurements performed in a minimal configuration of primary information sensors and actuators.