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Fuzzy Logic PID Control for Automatic Voltage Regulator System


Affiliations
1 Karunya University, Coimbatore, India
     

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This paper presents the excitation control system in generator operation. The topic of this paper involves the design and construction of excitation control (or) Automatic Voltage Regulator (AVR) for the synchronous generator. It is necessary to develop the electronic control system for the machine. The Automatic Voltage Regulator (AVR) is widely used in electrical power field to obtain the stability and good regulation of the electric system. The technology the fuzzy based on fixed range of the variables of output voltage. The control output is used to control the plant. To adjust the voltage using fuzzy logic principles, so that the voltage is stabilized. In this report, how fuzzy logic might provide elegant and efficient solutions in the design of multivariable control based on experimental results rather than on mathematical models.

Keywords

Fuzzy Logic System, PID Controller, Control Systems, Controlled A V R.
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  • Fuzzy Logic PID Control for Automatic Voltage Regulator System

Abstract Views: 205  |  PDF Views: 3

Authors

A. Dominicsavio
Karunya University, Coimbatore, India
P. Poongodi
Karunya University, Coimbatore, India
S. Samuel Ebenezer
Karunya University, Coimbatore, India

Abstract


This paper presents the excitation control system in generator operation. The topic of this paper involves the design and construction of excitation control (or) Automatic Voltage Regulator (AVR) for the synchronous generator. It is necessary to develop the electronic control system for the machine. The Automatic Voltage Regulator (AVR) is widely used in electrical power field to obtain the stability and good regulation of the electric system. The technology the fuzzy based on fixed range of the variables of output voltage. The control output is used to control the plant. To adjust the voltage using fuzzy logic principles, so that the voltage is stabilized. In this report, how fuzzy logic might provide elegant and efficient solutions in the design of multivariable control based on experimental results rather than on mathematical models.

Keywords


Fuzzy Logic System, PID Controller, Control Systems, Controlled A V R.