Synthesis of the State-Feedback Controllers by the Genetic Algorithm According to the Maximum Stability Degree Criterion
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COJUHARI, Irina, FIODOROV, Ion, IZVOREANU, Bartolomeu, MORARU, Dumitru. Synthesis of the State-Feedback Controllers by the Genetic Algorithm According to the Maximum Stability Degree Criterion. In: International Conference on Control Systems and Computer Science: CSCS 2021, 26-28 mai 2021, București. New Jersey: Institute of Electrical and Electronics Engineers Inc., 2021, Ediția a 23-a, pp. 83-88. ISBN 978-166543939-8. DOI: https://doi.org/10.1109/CSCS52396.2021.00021
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International Conference on Control Systems and Computer Science
Ediția a 23-a, 2021
Conferința "23rd International Conference on Control Systems and Computer Science Technologies"
București, Romania, 26-28 mai 2021

Synthesis of the State-Feedback Controllers by the Genetic Algorithm According to the Maximum Stability Degree Criterion

DOI:https://doi.org/10.1109/CSCS52396.2021.00021

Pag. 83-88

Cojuhari Irina, Fiodorov Ion, Izvoreanu Bartolomeu, Moraru Dumitru
 
Technical University of Moldova
 
 
Disponibil în IBN: 24 august 2021


Rezumat

The synthesis algorithm of state-feedback controllers is proposed in this paper. It was improved the procedure of finding the tuning parameters by the maximum stability degree criterion, using the genetic algorithm. Based on the genetic algorithm it is calculated the value of the maximum stability degree, according to witch it is calculated the control vector of the state-feedback controller. The proposed algorithm was verified by the computer simulation and there are presented some case studies. The case study was done for the situation when the control object is approximated with model of object with inertia and inertia with astatism.

Cuvinte-cheie
automatic control system, maximum stability degree, state-feedback controllers, genetic algorithm