Adaptive variable structure controller using neural networks

(2000) Adaptive variable structure controller using neural networks. Industry Applications Conference, 2000. Conference Record of the 2000 IEEE, 2.

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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
Subjects: Computer
Divisions: College Of Engineering Sciences > Electrical Engineering Dept
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 16:21
Last Modified: 01 Nov 2019 17:04
URI: http://eprints.kfupm.edu.sa/id/eprint/14068