Various control systems of DC drive using artificial neural networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F01%3A00000909" target="_blank" >RIV/61989100:27240/01:00000909 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Various control systems of DC drive using artificial neural networks

Original language description

This paper deals with the implementation of artificial neural network in control of DC drive. In the contribution three control systems are discussed. The first is a direct inverse control and the second is neural feedforward control with PID controller.The last of them contains a conventional PID controller for future comparison of presented control systems. The DC drives were simulated in program MATLAB with Simulink toolbox and Neural network based control system design toolkit. The main goal of thework was to find the simplest neural networks structures with minimum number of neurons, but simultaneously good regulation characteristics are required. Artificial neural networks are mainly used for complicated systems and processes, which are very difficult to control, therefore variable-speed regulation structures without current controller are considered.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2001

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

sborník konference IWCIT 01

ISBN

ISBN 80-7078-90

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

155-159

Publisher name

VŠB - Technická univerzita Ostrava

Place of publication

Ostrava

Event location

Ostrava

Event date

Jan 1, 2001

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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