HVDC control system based on fuzzified input perceptron

Author

Treesatayapun, C. ; Kantapanit, K. ; Dumronggittigule, S.

Author_Institution

North-Chiang Mai Coll., Thailand

Volume

3

fYear

2003

fDate

23-26 June 2003

Abstract

In this paper we propose a controller architecture for high voltage direct current (HVDC) based on our adaptive network called fuzzified input perceptron (FIP). In FIP, the THEN part membership function and defuzzification steps are combined together, as a result the overall structure becomes simple. Moreover the initial setting of FIP´s parameters can be selected based on expert knowledge. FIP´s parameters can be adjusted using a method based on steepest descent algorithm and Lyapunov stability criteria.

Keywords

HVDC power transmission; Lyapunov methods; adaptive control; fuzzy control; perceptrons; power engineering computing; power system stability; power transmission control; HVDC control system; Lyapunov stability criteria; adaptive control; defuzzification steps; fuzzified input perceptron; fuzzy logic control; high voltage direct current; steepest descent algorithm; Adaptive control; Computational modeling; Control systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; HVDC transmission; Neural networks; Power system simulation; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power Tech Conference Proceedings, 2003 IEEE Bologna

Print_ISBN

0-7803-7967-5

Type

conf

DOI

10.1109/PTC.2003.1304439

Filename

1304439