Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter
This article presents a sensorless five level DTC control based on neural networks using Extended Kalman Filter (EKF) applied to Double Star Induction Machine (DSIM). The application of the DTC control brings a very interesting solution to the problems of robustness and dynamics. However, this contr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Iran University of Science and Technology
2019-03-01
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| Series: | Iranian Journal of Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.iust.ac.ir/browse.php?a_code=A-10-2574-1&slc_lang=en&sid=1 |
| _version_ | 1818361010075992064 |
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| author | M. H. Lazreg A. Bentaallah |
| author_facet | M. H. Lazreg A. Bentaallah |
| author_sort | M. H. Lazreg |
| collection | DOAJ |
| description | This article presents a sensorless five level DTC control based on neural networks using Extended Kalman Filter (EKF) applied to Double Star Induction Machine (DSIM). The application of the DTC control brings a very interesting solution to the problems of robustness and dynamics. However, this control has some drawbacks such as the uncontrolled of the switching frequency and the strong ripple torque. To improve the performance of the system to be controlled, robust techniques have been applied, namely artificial neural networks. In order to reduce the number of sensors used, and thus the cost of installation, Extended Kalman filter is used to estimate the rotor speed. By viewing the simulation results using the MATLAB language for the control. The results of simulations obtained showed a very satisfactory behaviour of the machine. |
| first_indexed | 2024-12-13T21:09:53Z |
| format | Article |
| id | doaj.art-607af18dfd4b4551bbae7347c574685f |
| institution | Directory Open Access Journal |
| issn | 1735-2827 2383-3890 |
| language | English |
| last_indexed | 2024-12-13T21:09:53Z |
| publishDate | 2019-03-01 |
| publisher | Iran University of Science and Technology |
| record_format | Article |
| series | Iranian Journal of Electrical and Electronic Engineering |
| spelling | doaj.art-607af18dfd4b4551bbae7347c574685f2022-12-21T23:31:23ZengIran University of Science and TechnologyIranian Journal of Electrical and Electronic Engineering1735-28272383-38902019-03-01151142150Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman FilterM. H. Lazreg0A. Bentaallah1 Department of Electrical Engineering, Djillali Liabes University, Sidi Bel Abbes, Algeria. Department of Electrical Engineering, Djillali Liabes University, Sidi Bel Abbes, Algeria. This article presents a sensorless five level DTC control based on neural networks using Extended Kalman Filter (EKF) applied to Double Star Induction Machine (DSIM). The application of the DTC control brings a very interesting solution to the problems of robustness and dynamics. However, this control has some drawbacks such as the uncontrolled of the switching frequency and the strong ripple torque. To improve the performance of the system to be controlled, robust techniques have been applied, namely artificial neural networks. In order to reduce the number of sensors used, and thus the cost of installation, Extended Kalman filter is used to estimate the rotor speed. By viewing the simulation results using the MATLAB language for the control. The results of simulations obtained showed a very satisfactory behaviour of the machine.http://ijeee.iust.ac.ir/browse.php?a_code=A-10-2574-1&slc_lang=en&sid=1Double Star Induction MachineDirect Torque Control (DTC)Five Level InverterArtificial Neural Network (ANN)Sensorless ControlExtended Kalman Filter. |
| spellingShingle | M. H. Lazreg A. Bentaallah Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter Iranian Journal of Electrical and Electronic Engineering Double Star Induction Machine Direct Torque Control (DTC) Five Level Inverter Artificial Neural Network (ANN) Sensorless Control Extended Kalman Filter. |
| title | Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter |
| title_full | Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter |
| title_fullStr | Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter |
| title_full_unstemmed | Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter |
| title_short | Sensorless Speed Control of Double Star Induction Machine With Five Level DTC Exploiting Neural Network and Extended Kalman Filter |
| title_sort | sensorless speed control of double star induction machine with five level dtc exploiting neural network and extended kalman filter |
| topic | Double Star Induction Machine Direct Torque Control (DTC) Five Level Inverter Artificial Neural Network (ANN) Sensorless Control Extended Kalman Filter. |
| url | http://ijeee.iust.ac.ir/browse.php?a_code=A-10-2574-1&slc_lang=en&sid=1 |
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