Induction Motor Speed Control using Fuzzy Neural Network Speed Estimation

Tien-Chi Chen, Wei-Chung Wang

2012

Abstract

The field-oriented control (FOC) of induction motor has high static and dynamic performance. In order to achieve the speed loop feedback control, precise rotor speed information is important for induction motor control. In the past, encoder was widely used to obtain the speed information of induction motor. However, speed sensor would increase the cost of entire system and reduce the system reliability. In addition, for some special applications such as very high speed motor drives, some difficulties are encountered in mounting these speed sensors. The speed sensorless control would overcome these problems. This paper proposes a fuzzy neural network speed estimation for induction motor speed sensorless control. The speed estimation is based on the deduction of rotor flux and estimated rotor flux, which is calculated by fuzzy neural network. The fuzzy neural network includes a four-layer network. The steepest descent algorithm and back-propagation algorithm are used to adjust the parameters of fuzzy neural network in order to minimize the error between the rotor flux and the estimated rotor flux, which is implied to enable precise estimation of the rotor speed.

Paper Citation

in Harvard Style

Chen T. and Wang W. (2012). Induction Motor Speed Control using Fuzzy Neural Network Speed Estimation . In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 620-625. DOI: 10.5220/0004153106200625

in Bibtex Style

@conference{ncta12,
author={Tien-Chi Chen and Wei-Chung Wang},
title={Induction Motor Speed Control using Fuzzy Neural Network Speed Estimation},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012)},
year={2012},
pages={620-625},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004153106200625},
isbn={978-989-8565-33-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012)
TI - Induction Motor Speed Control using Fuzzy Neural Network Speed Estimation
SN - 978-989-8565-33-4
AU - Chen T.
AU - Wang W.
PY - 2012
SP - 620
EP - 625
DO - 10.5220/0004153106200625