Tuning of the PID Controller to the System with Maximum Stability Degree using Genetic Algorithm
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COJUHARI, Irina, FIODOROV, Ion, IZVOREANU, Bartolomeu, MORARU, Dumitru. Tuning of the PID Controller to the System with Maximum Stability Degree using Genetic Algorithm. In: Conference on Development and Application Systems: DAS 2020 - Proceedings, 21-23 mai 2020, Suceava. Suceava, România: Institute of Electrical and Electronics Engineers Inc., 2020, Ediția a XV-a, pp. 64-68. DOI: https://doi.org/10.1109/DAS49615.2020.9108969
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Conference on Development and Application Systems
Ediția a XV-a, 2020
Conferința "Conference on Development and Application Systems"
Suceava, Romania, 21-23 mai 2020

Tuning of the PID Controller to the System with Maximum Stability Degree using Genetic Algorithm

DOI:https://doi.org/10.1109/DAS49615.2020.9108969

Pag. 64-68

Cojuhari Irina, Fiodorov Ion, Izvoreanu Bartolomeu, Moraru Dumitru
 
Technical University of Moldova
 
 
Disponibil în IBN: 27 septembrie 2020


Rezumat

In this paper is proposed a tuning algorithm of PID controller that offers the maximum stability degree of the control system, based on the genetic algorithm. The tuning algorithm was designed based on the maximum stability degree method with iterations, where the tuning parameters depend on maximum stability degree which is varied. Based on its values, it was proposed to implement genetic algorithm to find the tuning parameters. The maximum stability degree method permits to obtain the high stability and high performance of the system, but this method has some limitations in case when control object is described by the model of object with inertia low order. In this case to find the best tuning parameters was proposed to use the genetic algorithm. For efficacy analysis of the proposed algorithm, there are presented some case studies and practical applications. 

Cuvinte-cheie
Controllers, Electric control equipment, genetic algorithms, Parameter estimation, Proportional control systems, stability, Three term control systems