KFUPM ePrints

Adaptive variable structure controller using neural networks

Al-Duwaish, H.N. and Al-Hamouz, Z.M. (2000) Adaptive variable structure controller using neural networks. Industry Applications Conference, 2000. Conference Record of the 2000 IEEE, 2.

[img]
Preview
PDF
18Kb
[img]Microsoft Word
26Kb

Abstract

A power system stabilizer (PSS) of a single machine power system model has been designed using a neural network based variable structure controller (VSC). The need for adaptive VSC comes from the fact that the power system model operates over a wide range of operating points, some of which are unstable, and hence no single VSC gains are sufficient for the entire operating range. Neural networks are used for on-line prediction of the suitable VSC gains when the operating point changes. Simulation results are included to demonstrate the performance of the proposed control scheme



Item Type:Article
Date:2000
Date Type:Publication
Subjects:Computer
Divisions:College Of Engineering Sciences > Electrical Engineering Dept
Creators:Al-Duwaish, H.N. and Al-Hamouz, Z.M.
ID Code:14068
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:21
Last Modified:12 Apr 2011 13:14

Repository Staff Only: item control page