Open AccessAutomatic target adjusting braking of a shunting stock with an adaptive control law
Author(s) -
Сергей Петрович Круглов,
С. В. Ковыршин,
P. Yu. Ivanov,
A A Korsun,
A S Kovshin
Publication year - 2021
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 - 10.1088/1742-6596/2094/5/052069
Subject(s) - shunting , computer science , parametric statistics , control theory (sociology) , braking system , automation , adaptive control , control engineering , control (management) , engineering , automotive engineering , artificial intelligence , mathematics , brake , psychology , mechanical engineering , statistics , neuroscience
The article deals with the problem of automation of target adjusting braking of a shunting stock. It is proposed to build it on the basis of an adaptive control algorithm capable of functioning under the current uncertainty of the parameters of the control object. It is based on a scheme with a current parametric identification assigned by an implicit reference model and using “simplified adaptivity conditions”. For the synthesis of the control, the approach implemented in a standard locomotive system for automatic braking control to maintain the target speed of movement depending on the distance to the target point is used. The results of simulation modelling are presented.