Design and implementation of a fuzzy controller based automatic voltage regulator for a synchronous generator

1994 ◽  
Vol 9 (3) ◽  
pp. 550-557 ◽  
Author(s):  
A.R. Hasan ◽  
T.S. Martis ◽  
A.H.M.S. Ula
Keyword(s):  
Fuzzy Controller ◽  
Synchronous Generator ◽  
Voltage Regulator ◽  
Design And Implementation ◽  
Automatic Voltage Regulator

PID Parameters Tuning Based on Wavelet Neural Network for Automatic Voltage Regulator Control System

2012 ◽  
Vol 463-464 ◽  
pp. 1663-1667
Author(s):  
Hai Na Hu ◽  
Wu Wang
Keyword(s):  
Neural Network ◽  
Control System ◽  
Power System ◽  
Synchronous Generator ◽  
Wavelet Neural Network ◽  
System Stability ◽  
Voltage Regulator ◽  
System Control ◽  
Automatic Voltage Regulator ◽  
Avr System

Automatic Voltage Regulator (AVR) was applied to hold terminal voltage magnitude of a synchronous generator at a specified level and its stability seriously affects the security of power system. PID control was applied for AVR system control, but the parameters of PID controller were hard to determine, to overcome this problem, some intelligent techniques should be taken. Wavelet Neural Network (WNN) was constrictive and fluctuant of wavelet transform and has self-study, self adjustment and nonlinear mapping functions of neural networks, so the structure of WNN and PID tuning with WNN was proposed, the tuning algorithm was applied into AVR control system, the simulation was taken with normal BP neural network and WNN, the efficiency and advantages of this control strategy was successfully demonstrated which can applied into AVR system for power system stability.

Design and Implementation of Intelligent Hybrid Neuro Controller for Automatic Voltage Regulator

2020 ◽  
Vol 17 (5) ◽  
pp. 2197-2202
Author(s):  
Golla Suri Babu ◽  
Tirumalasetty Chiranjeevi
Keyword(s):  
Feedforward Neural Network ◽  
Voltage Regulator ◽  
Backpropagation Algorithm ◽  
Design And Implementation ◽  
Hybrid Controller ◽  
System A ◽  
Automatic Voltage Regulator ◽  
Avr System ◽  
Multilayer Feedforward Neural Network ◽  
Neuro Controller

In this paper, we presented a hybrid controller by combining the advantages of both PID and Neuro controllers for automatic voltage regulator (AVR) system. A Neuro controller is designed using multilayer feedforward neural network and Levenberg-Marquardt backpropagation algorithm is used for training the network. Also, hybrid controller is achieved by blending the characteristics of classical PID and proposed Neuro controller using a switching mechanism based on the error. The proposed PID, Neuro and Hybrid controllers are simulated in MATLAB environment and their transient response parameters are compared. The simulation results clearly indicated the improvement in the transient output of the automatic voltage regulator system with proposed hybrid controller even in the presence of uncertainties in the system.

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