PID Parameters Determination of Synchronous Machine AVR System

Martin P. Ćalasan(1*), Tatijana M. Dlabač(2), Milutin M. Ostojić(3)

(1) Msc, Teaching assistant, University of Montenegro, Faculty of Electrical Engineering, Montenegro
(2) Msc, Teaching assistant, University of Montenegro, Maritime faculty,, Montenegro
(3) Full professor, University of Montenegro, Faculty of Electrical Engineering, Montenegro
(*) Corresponding author


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Abstract


This paper presents the use of Genetic Algorithms (GA) for determining optimal parameters of PID controller in synchronous machine automatic voltage regulator (AVR) system. Responses to step changes of AVR system input voltage value, which PID parameters are determined by the use of GA, have been compared to the responses of system which PID parameters are obtained by classic Zeigler-Nichols method. Special emphasis is put on analyzing the impact of the number of GA populations and generations on the values of PID controller parameters, as well as on the quality of the system response. It is shown that GA-PID controller could create perfect step response of the AVR system, as well as that the GA-PID controller is much better than the ZN-PID controller.
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Keywords


Genetic Algorithm; Excitation System; Synchronous Machine; PID Controller

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References


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