Investigation of the Control Law Influence on the Dynamic Characteristics of Vehicle Movement Control System Model

Nakonechnyi, Markian; Івахів, Орест; Velgan, Roman; Geraimchuk, Мykhaylo; Viter, Oleksandr

doi:10.1109/rem49740.2020.9313908

Cited by 3 publications

(1 citation statement)

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“…The dynamics of the processes that occur in the speed control system of the car depend on both the type and parameters of the selected controller and the given car of a nonlinear model. As such, it is necessary to determine the effectiveness of the process control system in a nonlinear object in the implementation of various control laws [41]. That means that the proportional (P) and proportional-integral-derivative (PID) controllers, based on neural networks, follow their testing in the speed control system model.…”

Section: Mathematical Model Of the Car Movementmentioning

confidence: 99%

Neurocontrolled Car Speed System

Nakonechnyi,

Ivakhiv,

Świsulski

2023

JAMRIS

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The features of the synthesis of neural controllers for the car speed control system are considered in the article. The task of synthesis is to determine the weight coefficients of neural networks that provide the implementation of proportional and proportional-integral-derivative 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 which one of the synthesized controllers is connected under certain specified conditions. Using 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.

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Section: Mathematical Model Of the Car Movementmentioning

confidence: 99%