Genetic algorithm based PI controller tuning for induction motor drive with ANN flux estimator

Rafiq, M. Abdur, Roy, Naruttam Kumar and Ghosh, B.C. 2010, Genetic algorithm based PI controller tuning for induction motor drive with ANN flux estimator, in ICECE 2010 : Proceedings of the Electrical and Computer Engineering 2010 International Conference, IEEE, Piscataway, N.J., pp. 490-493, doi: 10.1109/ICELCE.2010.5700736.

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Title Genetic algorithm based PI controller tuning for induction motor drive with ANN flux estimator
Author(s) Rafiq, M. Abdur
Roy, Naruttam Kumar
Ghosh, B.C.
Conference name Electrical and Computer Engineering. International Conference (6th : 2010 : Dhaka, Bangladesh)
Conference location Dhaka, Bangladesh
Conference dates 18-20 Dec. 2010
Title of proceedings ICECE 2010 : Proceedings of the Electrical and Computer Engineering 2010 International Conference
Editor(s) [Unknown]
Publication date 2010
Conference series Electrical and Computer Engineering International Conference
Start page 490
End page 493
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Summary This paper presents a Genetic Algorithm (GA) based fast speed response controller for poly-phase induction motor drive. Here the proportional and integral gains of PI controller are optimized by GA to achieve quick speed response. An adaptive Recurrent Neural Network (RNN) with Real Time Recurrent Learning (RTRL) algorithm is proposed to estimate rotor flux. An online tuning scheme to update the weight of RNN is presented to overcome stator resistance variation problem. This tuning scheme requires torque estimator to calculate the torque error. Space vector modulation (SVM) technique is used to produce the motor input voltage. Simulation tests have been performed to study the dynamic performances of the drive system for both the classical PI and the genetic algorithm based PI controllers.
ISBN 9781424462773
Language eng
DOI 10.1109/ICELCE.2010.5700736
Field of Research 099999 Engineering not elsewhere classified
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2010, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30064193

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