(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
Department:	College of Engineering and Physics > Electrical Engineering
Depositing User:	Mr. Admin Admin
Date Deposited:	24 Jun 2008 13:21
Last Modified:	01 Nov 2019 14:04
URI:	http://eprints.kfupm.edu.sa/id/eprint/14068