Study on Model Reference Fuzzy Adaptive Control for Sensorless Vector Controlled Induction Motor Drives
- 10.2991/meic-15.2015.109How to use a DOI?
- Induction motor; model reference fuzzy adaptive system; rotor time constant; vector control; self-tuning fuzzy control
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.
- © 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/).
Cite this article
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 -