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Adaptive Variable Structure Controller Using Neural Networks Hussain. N. Al-Duwaish*, and Zakariya. M. Al-Hamouz
 

Summary: Adaptive Variable Structure Controller Using Neural Networks
Hussain. N. Al-Duwaish*, and Zakariya. M. Al-Hamouz
Department of Electrical Engineering
KFUPM, Dhahran 31261, Saudi Arabia.
*e-mail: hduwaish@,kfuDm.edu.sa
Absrract- 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.
I. INTRODUCTION
In recent years, there is an ongoing interest on the
application of the variable structure controllers (VSC) to
different engineering problems including power systems[1-
121, aerospace [13-151 , robotics [16-171, and many others.

  

Source: Al-Duwaish, Hussain N. - Electrical Engineering Department, King Fahd University of Petroleum and Minerals

 

Collections: Computer Technologies and Information Sciences; Engineering