Volume 16, Issue 1 (March 2020)                   IJEEE 2020, 16(1): 85-95 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Yassine B, Fatiha Z, Chrifi-Alaoui L. IS-MRAS With On-Line Adaptation Parameters Based on Type-2 Fuzzy LOGIC for Sensorless Control of IM. IJEEE 2020; 16 (1) :85-95
URL: http://ijeee.iust.ac.ir/article-1-1473-en.html
IS-MRAS With On-Line Adaptation Parameters Based on Type-2 Fuzzy LOGIC for Sensorless Control of IM
B. Yassine , Z. Fatiha , L. Chrifi-Alaoui
Abstract:   (2962 Views)
This paper suggests novel sensorless speed estimation for an induction motor (IM) based on a stator current model reference adaptive system (IS-MRAS) scheme. The IS-MRAS scheme uses the error between the reference and estimated stator current vectors and the rotor speed. Observing rotor flux and the speed estimating using the conventional MRAS technique is confronted with certain problems related to the presence of the pure integrator and the rotor resistance causing offsets at low speeds, as proved by the most recent publications. These offsets are disastrous in sensorless control since these signals are no longer suitable to calculate of park angle (θs). This paper discusses the new MRAS approach (IS-MRAS) for on-line identification of the rotor resistance suitable for compensating offsets and solving problems of ordinary MRAS at low speed. This new MRAS approach used to estimate the components of the rotor flux and rotor speed without using the voltage model with on-line Setting parameters (Kp, K1) based on Type-2 fuzzy Logic. The results of the simulation and the experimental results are presented and show the effectiveness of the proposed technique.
Keywords: Induction Motor , IS-MRAS , Type-2 Fuzzy Logic , Sensorless Control
Full-Text [PDF 1350 kb]   (1214 Downloads)    
  • Speed estimation based on a new approach to the MRAS technique.
  • Online adjustment of the parameters of the adaptation mechanism of Estimator (MRAS).
  • Online identification of rotor resistance.

Type of Study: Research Paper | Subject: Adaptive Control
Received: 2019/07/29 | Revised: 2019/10/30 | Accepted: 2019/11/01
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.