Investigation of the dynamics of an automatic phase-frequency control system with nonlinear capacitance in the low-frequency filter

1968 ◽  
Vol 11 (3) ◽  
pp. 227-232
Author(s):  
V. N. Belykh ◽  
V. D. Shalfeev
Keyword(s):  
Control System ◽  
Frequency Control ◽  
Low Frequency ◽  
Frequency Filter ◽  
Nonlinear Capacitance ◽  
Frequency Control System ◽  
Automatic Phase

The study of the emission frequency control system stability in hydropulse generator

2017 ◽  
Author(s):  
Andrey A. Kapelyuhovskiy ◽  
Alexandra A. Kapelyuhovskaya ◽  
Elena P. Stepanova
Keyword(s):  
Control System ◽  
Frequency Control ◽  
System Stability ◽  
Emission Frequency ◽  
Frequency Control System

scholarly journals Analisis Stabilitas Sistem Tenaga Listrik Dengan Automatic Generation Control (AGC) Dua Area Menggunakan Fuzzy Logic Controller

2018 ◽  
Vol 17 (2) ◽  
pp. 263
Author(s):  
Made Dwi Noviantara ◽  
I Nengah Suweden ◽  
I Made Mataram
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Frequency Response ◽  
Fuzzy Logic Controller ◽  
Frequency Control ◽  
Stable State ◽  
Automatic Generation ◽  
Settling Time ◽  
Frequency Control System ◽  
Response Output

The power system must be able to server the load in a sustainable manner with good service quality, such as constant voltage and frequency, quickly stabilized when load changes occur. The control generator automatically changes the frequency to the highest value when the system changes every time. This is called AGC. To keep the frequency in a stable state required frequency control system. Currently developing a lot of control system with fuzzy logic method. The simulation is performed using 5 membership functions and gives a loading of 0.1 pu, using MATLAB-Simulink software. From the analysis result, the comparison of output of frequency response in overshoot condition with conventional method yielded , settling time of 20.5 second. While the fuzzy logic controller method produces frequency response output in the overshoot state that is , settling time is 12 seconds. Whit the fuzzy logic controller method produces better performance and faster than conventional methods.

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