Neurocontrolled Car Speed System

Markiyan Nakonechnyi; Orest Ivakhiv; Dariusz Świsulski

doi:10.14313/jamris/3-2022/20

Neurocontrolled Car Speed System

Abstract

The features of the synthesis of neural controllers for the car speed control system are considered in this article. The task of synthesis is to determine the weight coefficients of neural networks that provide the implementation of proportional and proportional-integralderivative control laws. The synthesis of controllers is based on an approach that uses a reversed model of the standard. A model of the car speed control system with the use of permitting subsystems has been developed, with the help of the synthesized controller that is connected under certain specified conditions. With the iterative programming and mathematical modeling environment in MATLAB, and using the Simulink package, a structural scheme for controlling the speed of the car was constructed and simulated using synthesized neural controllers.

Citations

0

CrossRef
0

Web of Science
1

Scopus

Authors (3)

Markiyan Nakonechnyi
- Lviv Polytechnic National University
Orest Ivakhiv
- Lviv Polytechnic National University
Dariusz Świsulski dr hab. inż.

Cite as

Full text

download paper

downloaded 42 times

Publication version: Accepted or Published Version
DOI:: Digital Object Identifier (open in new tab) 10.14313/JAMRIS/3-2022/20
License: open in new tab

full content of the article see on external site open in new tab

Keywords

Details

Category:

Articles

Type:

artykuły w czasopismach

Published in:

Journal of Automation, Mobile Robotics and Intelligent Systems - JAMRIS no. 16, pages 13 - 21,
ISSN: 1897-8649

Language:

English

Publication year:

2023

Bibliographic description:

Nakonechnyi M., Ivakhiv O., Świsulski D.: Neurocontrolled Car Speed System// Journal of Automation, Mobile Robotics and Intelligent Systems - JAMRIS -Vol. 16,iss. 3 (2023), s.13-21

DOI: