advanced
Journal Information
Journal Information
   Description
   Editorial Board
   Guide for Authors
   Ordering

Contents Services
Contents Services
   Regular Issues
   Special Issues
   Authors Index

Links
Links
   FEI STU Bratislava
   SAS Bratislava

   Feedback

[1, 2007] 

Journal of Electrical Engineering, Vol 58, 1 (2007) 10-18

A SIMPLE HYSTERESIS PI BASED NEURAL CONTROLLER USED FOR SPEED CONTROL OF AN INDIRECT FIELD ORIENTED INDUCTION MACHINE DRIVE

Abdallah Miloudi - Eid Al-radadi - Azeddine Draou

   This paper presents an original hysteresis PI based neural controller for speed control of an indirect rotor flux oriented controlled (IRFOC) induction motor drive. An original hysteresis PI controller is first proposed. Its simulated performances in speed control and rotor resistance estimation are then compared to those of a classical PI controller. The proposed hysteresis PI controller provides better dynamic performances than the classical PI controller but it has one drawback. The hysteresis PI cannot deal with down step speed tracking below a certain limit. The artificial neural network generalization capacity is then used to deal with this drawback. The simulated input-output non linear relationship of the proposed controller during startup and load disturbance rejection is learned off-line using a feed-forward linear network with one hidden layer. The simulation of the neural network controlled system shows promising results. The motor reaches the reference speed rapidly and without overshoot, step commands are tracked with almost zero steady state error and no overshoot, load disturbances are rapidly rejected and variations of some of the motor parameters are fairly well dealt with.

Keywords: induction motor drive, vector reference IRFOC, neural controller, speed control.


[full-paper]


© 1997-2019  FEI STU Bratislava