Study on Model Reference Fuzzy Adaptive Control for Sensorless Vector Controlled Induction Motor Drives

DOI

10.2991/meic-15.2015.109How to use a DOI?

Keywords

Induction motor; model reference fuzzy adaptive system; rotor time constant; vector control; self-tuning fuzzy control

Abstract

In this paper, a model reference fuzzy adaptive system (MRFAS) control method using on-line self tuning fuzzy quantizing and scaling factors is applied to the sensorless vector controlled induction motor (IM) drive system with MRAS type speed estimator. In this method, a stator current model based MRFAS observer is presented to estimate the rotor speed and inverse rotor time constant and rotor flux is estimated using the MRASCC estimator. A novel nonlinear adaptation mechanism is proposed in which the speed adaptation scheme and the other of inverse rotor time constant are executed by two-stage fuzzy logic controllers with self-tuned parameters based on the error and change of error measured between the actual current and the reference model output signal. Simulation results are presented to validate the effectiveness of the proposed method, showing stable system responses almost insensitive to large parameter variations.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Lin Jiang
AU  - Ke Chen
AU  - Jun Wu
AU  - Qing Yang
PY  - 2015/04
DA  - 2015/04
TI  - Study on Model Reference Fuzzy Adaptive Control for Sensorless Vector Controlled Induction Motor Drives
BT  - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 470
EP  - 475
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-15.2015.109
DO  - 10.2991/meic-15.2015.109
ID  - Jiang2015/04
ER  -