Fuzzy Logic Controller and Neural Network Controller as a Power System Regulator Implemented on GUI

被引：0

作者：

Giri, Parita D. ^{[1
]}

Shah, Satish K. ^{[2
]}

机构：

[1] SVIT, Elect Engg Dept, Vasad, Gujarat, India

[2] Fac Engn & Technol, Dept Elect Engn, Baroda, Gujarat, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 1 | 2012年 / 130卷

关键词：

Fuzzy Logic; Neural Network; Voltage Regulator; Steady state error; GUI;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents design of Fuzzy Logic Controller (FLC) and Neural Network Controller (NNC) as a Regulator for effective voltage control over a Simple and a Stabilized regulator in order to maintain stability and enhance the closed-loop performance of a power system using a fast computing user friendly Graphical User Interface(GUI). The gains and tuning parameters are kept almost same in Simple, Stabilized, Fuzzy Logic and Neural Network Regulator. The step responses are interfaced on a common GUI page, the performance of Fuzzy Logic Regulator in comparison to the conventional fixed gain regulators proves better but Neural Network Controller has the best results.

引用

页码：243 / +

页数：2