Please use this identifier to cite or link to this item: http://cris.utm.md/handle/5014/1033
Title: Synthesis of the Control Algorithm to the Models of Objects with Inertia First Order and Second Order Astatism
Authors: IZVOREANU, Bartolomeu 
COJUHARI, Irina 
FIODOROV Ion 
SECRIERU, Adrian 
MORARU, Dumitru 
POTLOG, Mihail 
Keywords: model of object with inertia and second order astatism;transfer function;control algorithm PID;tuning of the controller parameters;the maximum stability degree method with iterations;polynomial equation;system performance
Issue Date: 2021
Publisher: IEEE
Source: B. Izvoreanu, I. Cojuhari, I. Fiodorov, A. Secrieru, D. Moraru and M. Potlog, "Synthesis of the Control Algorithm to the Models of Objects with Inertia First Order and Second Order Astatism," 2021 International Conference on Electromechanical and Energy Systems (SIELMEN), 2021, pp. 299-303, doi: 10.1109/SIELMEN53755.2021.9600301.
Project: 20.80009.5007.26. Modele, algoritmi şi tehnologii de conducere, optimizare şi securizare a sistemelor Ciber- Fizice 
Conference: 2021 International Conference on Electromechanical and Energy Systems (SIELMEN)
Abstract: 
In this paper it is proposed to synthesize the control algorithm for the models of objects with inertia and second order astatism, which are described the dynamics of various technical objects and technological processes. These models of control objects have the double pole in the origin of axes and one negative pole. In order to tune the PID control algorithm to the given model of object, it was designed the control algorithm based on the maximum stability degree method with iterations. To verify the obtained results of tuning the PID controller, it was done the synthesis of the control algorithm by the polynomial equations method. An example of a system with the respectively model of control object and the controller synthesized according to these methods was computer simulated in the MATLAB software package and it was done the analysis of the system performance. There are highlighted the advantages of the maximum stability degree method with iterations by the simplification of the tuning procedure of the PID controller to this model of object.
URI: http://cris.utm.md/handle/5014/1033
ISBN: 978-1-6654-0078-7
978-1-6654-0079-4
DOI: 10.1109/SIELMEN53755.2021.9600301
Appears in Collections:Journal Articles

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