PI-based speed controller for vector control model of the induction motor drive using GA tuned fuzzy algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241489" target="_blank" >RIV/61989100:27240/18:10241489 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.17654/HMSI118019" target="_blank" >http://dx.doi.org/10.17654/HMSI118019</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17654/HMSI118019" target="_blank" >10.17654/HMSI118019</a>

Jazyk výsledku

angličtina

Název v původním jazyce

PI-based speed controller for vector control model of the induction motor drive using GA tuned fuzzy algorithm

Popis výsledku v původním jazyce

The paper describes an application of the fuzzy algorithm on proportional-integral (PI) speed controller, then the coefficients of the controlled system are optimized by genetic algorithm (GA) to find Kp, Ki for the PI speed controller in the optimal parameters controlled structure of the A.C. drive with the vector controlled. An induction motor model with the PI speed controller is presented in the first section. The second part describes the design of the online PI-fuzzy speed controller and GA tuned for coefficients of system. Finally the important simulations with the traditional PI speed controller and the online PI-fuzzy speed controller using the tuned genetic algorithm together with change of parameters were performed in the Matlab-Simulink environment. The simulation results show that the online PI-fuzzy speed controller with the tuned GA produces a much better response of the induction motor speed.

Název v anglickém jazyce

PI-based speed controller for vector control model of the induction motor drive using GA tuned fuzzy algorithm

Popis výsledku anglicky

The paper describes an application of the fuzzy algorithm on proportional-integral (PI) speed controller, then the coefficients of the controlled system are optimized by genetic algorithm (GA) to find Kp, Ki for the PI speed controller in the optimal parameters controlled structure of the A.C. drive with the vector controlled. An induction motor model with the PI speed controller is presented in the first section. The second part describes the design of the online PI-fuzzy speed controller and GA tuned for coefficients of system. Finally the important simulations with the traditional PI speed controller and the online PI-fuzzy speed controller using the tuned genetic algorithm together with change of parameters were performed in the Matlab-Simulink environment. The simulation results show that the online PI-fuzzy speed controller with the tuned GA produces a much better response of the induction motor speed.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/TE02000103" target="_blank" >TE02000103: Centrum inteligentních pohonů a pokročilého řízení strojů (CIDAM)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

JP Journal of Heat and Mass Transfer

ISSN

0973-5763

e-ISSN

—

Svazek periodika

15

Číslo periodika v rámci svazku

SI 1, June 2018

Stát vydavatele periodika

IN - Indická republika

Počet stran výsledku

10

Strana od-do

19-28

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85050083785