Synthesis of the PID Control Algorithm for the Models of Objects with Second Order Astatism
Închide
Articolul precedent
Articolul urmator
287 0
SM ISO690:2012
IZVOREANU, Bartolomeu, COJUHARI, Irina, FIODOROV, Ion, SECRIERU, Adrian, MORARU, Dumitru, POTLOG, Mihail. Synthesis of the PID Control Algorithm for the Models of Objects with Second Order Astatism. In: Sielmen: Proceedings of the 11th International Conference on Electromechanical and Energy Systems, Ed. 11, 7-8 octombrie 2021, Iași. Chişinău: Pro Libra, 2021, Ediţia 11, pp. 203-206. ISBN 978-166540078-7. DOI: https://doi.org/10.1109/SIELMEN53755.2021.9600436
EXPORT metadate:
Google Scholar
Crossref
CERIF

DataCite
Dublin Core
Sielmen
Ediţia 11, 2021
Conferința "Sielmen"
11, Iași, Romania, 7-8 octombrie 2021

Synthesis of the PID Control Algorithm for the Models of Objects with Second Order Astatism

DOI:https://doi.org/10.1109/SIELMEN53755.2021.9600436

Pag. 203-206

Izvoreanu Bartolomeu, Cojuhari Irina, Fiodorov Ion, Secrieru Adrian, Moraru Dumitru, Potlog Mihail
 
Technical University of Moldova
 
 
Disponibil în IBN: 4 februarie 2022


Rezumat

In the paper is highlighted the industrial objects as cars, spacecraft, telescopes, plotters, lasers, elevators, etc., which are described by the mathematical model with double astatism. These models of control objects have a double pole in the origin of the coordinate axes. In order to tune the PID controller to the model of object with double astatism, it was elaborated the tuning algorithm based on the maximum stability degree method with iterations. It was done the computer simulation of the automatic control system with the respectively model of object and PID controller and it was done the analysis of the obtained performance. The advantages of the maximum stability degree method with iterations were highlighted by the reducing calculations and time, which lead to the procedure simplification of the PID controller tuning. 

Cuvinte-cheie
model of the control object with double astatism, PID control algorithm, system performance, the maximum stability degree method with iterations, transfer function, tuning of the controller