PI Kontrolörlü Otomatik Gerilim Regülasyon Sisteminin Kararlılık Analizi

Özdemir, Mahmut Temel; Çelik, Vedat

doi:10.16984/saufenbilder.270251

Cited by 2 publications

(2 citation statements)

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“…The SBL method has been applied to the various control systems [34][35][36][37][38][39][40]. To the best knowledge of the author, the study ofÖzdemir and Ç elik [38] is the only study that determines the stability regions in the space of PI gains in the AV R system. For the controller design, there is no another study suggesting any optimization algorithm that searches the inner side of the stable closed SBL curves.…”

Section: The Motivation Of the Studymentioning

confidence: 99%

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A novel optimum PI controller design based on stability boundary locus supported particle swarm optimization in AVR system

Özdemir¹

2021

Turk J Elec Eng & Comp Sci

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This study proposes a new approach that combines stability and optimization in the design of PI controller of automatic voltage regulators (AV R) of synchronous generators with variable system parameters. Thanks to this approach, a PI controller, providing the desired performance and the stability of the AV R system, has been designed. The approach follows a method investigating for the PI gain values to achieve the desired goals. In the first step of the study, a new stability boundary locus is calculated for the case in which AV R system's parameters have changed. The Stability Boundary Locus (SBL) Method is a graphic-based technique, and is used for the calculation of a new stability boundary locus curve. In this technique, the stable region is obtained by using the roots of the characteristic equation of the AV R system, so depends on the parameters of the AV R system. In the second step, the controller gains are searched by the particle swarm optimization (PSO) algorithm modified with respect to the proposed approach. In the last step, in order to validate the efficiency of the proposed approach, the system has been optimized by the classical PSO and proposed SBL PSO. The comparative results of both optimizations have been presented. The results show that the proposed approach shortens optimization time by 20%. Thanks to this approach, the AV R system always runs at the desired performance and is always stable. It also substantially contributes to the implementation of optimization of closed loop control systems.

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Section: The Motivation Of the Studymentioning

confidence: 99%

“…stability analysis of the system is carried out by using the characteristic equation achieved by the Equation 2. According to the characteristic equation, there are three stability boundaries; real root boundary (RRB), complex root boundary (CRB), and infinite root boundary (IRB), [38][39][40].…”

Section: Modelling Avr Systems With a Pi Controllermentioning

confidence: 99%