Universal Speed and Flux Estimator for Induction Motor
In the paper, the concept of universal speed and flux estimator with additional parameters estimators is presented. Proposed solution is based on the Model Reference Adaptive System (MRAS) type flux and speed estimator and can be used in different industrial systems (especially in the automotive app...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2018-12-01
|
| Series: | Power Electronics and Drives |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/pead.2018.3.issue-1/pead-2018-0007/pead-2018-0007.xml?format=INT |
| _version_ | 1818475067455045632 |
|---|---|
| author | Dybkowski Mateusz |
| author_facet | Dybkowski Mateusz |
| author_sort | Dybkowski Mateusz |
| collection | DOAJ |
| description | In the paper, the concept of universal speed and flux estimator with additional parameters estimators is presented. Proposed solution is based on the Model Reference Adaptive System (MRAS) type flux and speed estimator and can be used in different industrial systems (especially in the automotive applications). Induction Motor (IM) parameters are estimated using the systems based only on simple simulators and adaptive systems (voltage model and current model). Proposed system was tested in the sensorless induction motor drive with the Direct Field Oriented Control (DFOC) algorithm. Simulation and experimental results are presented in the paper. |
| first_indexed | 2024-04-14T04:44:44Z |
| format | Article |
| id | doaj.art-b017671a2f914307b4740d05132cd9b5 |
| institution | Directory Open Access Journal |
| issn | 2451-0262 2543-4292 |
| language | English |
| last_indexed | 2024-04-14T04:44:44Z |
| publishDate | 2018-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Power Electronics and Drives |
| spelling | doaj.art-b017671a2f914307b4740d05132cd9b52022-12-22T02:11:29ZengSciendoPower Electronics and Drives2451-02622543-42922018-12-013115716910.2478/pead-2018-0007pead-2018-0007Universal Speed and Flux Estimator for Induction MotorDybkowski Mateusz0Wroclaw University of Science and Technology, Department of Electrical Machines, Drives and Measurements,Wroclaw, PolandIn the paper, the concept of universal speed and flux estimator with additional parameters estimators is presented. Proposed solution is based on the Model Reference Adaptive System (MRAS) type flux and speed estimator and can be used in different industrial systems (especially in the automotive applications). Induction Motor (IM) parameters are estimated using the systems based only on simple simulators and adaptive systems (voltage model and current model). Proposed system was tested in the sensorless induction motor drive with the Direct Field Oriented Control (DFOC) algorithm. Simulation and experimental results are presented in the paper.http://www.degruyter.com/view/j/pead.2018.3.issue-1/pead-2018-0007/pead-2018-0007.xml?format=INTSpeed estimatorrotor flux estimatorparameter estimatorinduction motorMRASuniversal estimatorvector control |
| spellingShingle | Dybkowski Mateusz Universal Speed and Flux Estimator for Induction Motor Power Electronics and Drives Speed estimator rotor flux estimator parameter estimator induction motor MRAS universal estimator vector control |
| title | Universal Speed and Flux Estimator for Induction Motor |
| title_full | Universal Speed and Flux Estimator for Induction Motor |
| title_fullStr | Universal Speed and Flux Estimator for Induction Motor |
| title_full_unstemmed | Universal Speed and Flux Estimator for Induction Motor |
| title_short | Universal Speed and Flux Estimator for Induction Motor |
| title_sort | universal speed and flux estimator for induction motor |
| topic | Speed estimator rotor flux estimator parameter estimator induction motor MRAS universal estimator vector control |
| url | http://www.degruyter.com/view/j/pead.2018.3.issue-1/pead-2018-0007/pead-2018-0007.xml?format=INT |
| work_keys_str_mv | AT dybkowskimateusz universalspeedandfluxestimatorforinductionmotor |