States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon Estimation
This paper investigates the joint states and parameters estimation problem for induction machine. In order to develop new states and parameters estimation methods that greatly improve the estimation bandwidth, this paper proposes an adaptive moving horizon estimation of the crucial states and parame...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/8687025 |
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| _version_ | 1832552916649508864 |
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| author | Steve Alan Talla Ouambo Alexandre Teplaira Boum Adolphe Moukengue Imano |
| author_facet | Steve Alan Talla Ouambo Alexandre Teplaira Boum Adolphe Moukengue Imano |
| author_sort | Steve Alan Talla Ouambo |
| collection | DOAJ |
| description | This paper investigates the joint states and parameters estimation problem for induction machine. In order to develop new states and parameters estimation methods that greatly improve the estimation bandwidth, this paper proposes an adaptive moving horizon estimation of the crucial states and parameters of the induction machine. The model of the machine under study is the one taking into consideration the magnetic saturation and the iron losses simultaneously. The estimator used is based on a least squares algorithm but includes a dead zone that ensures robustness and a variable forgetting factor that is based on the constant information principle. The simulation results show that the adaptive estimator can efficiently estimate the states and parameters of the induction machine with a fast convergence rate despite the initial parametric errors. |
| format | Article |
| id | doaj-art-6065336e8fb5413096303541af404032 |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-6065336e8fb5413096303541af4040322025-02-03T05:57:29ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/8687025States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon EstimationSteve Alan Talla Ouambo0Alexandre Teplaira Boum1Adolphe Moukengue Imano2University of DoualaUniversity of DoualaUniversity of DoualaThis paper investigates the joint states and parameters estimation problem for induction machine. In order to develop new states and parameters estimation methods that greatly improve the estimation bandwidth, this paper proposes an adaptive moving horizon estimation of the crucial states and parameters of the induction machine. The model of the machine under study is the one taking into consideration the magnetic saturation and the iron losses simultaneously. The estimator used is based on a least squares algorithm but includes a dead zone that ensures robustness and a variable forgetting factor that is based on the constant information principle. The simulation results show that the adaptive estimator can efficiently estimate the states and parameters of the induction machine with a fast convergence rate despite the initial parametric errors.http://dx.doi.org/10.1155/2022/8687025 |
| spellingShingle | Steve Alan Talla Ouambo Alexandre Teplaira Boum Adolphe Moukengue Imano States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon Estimation Journal of Electrical and Computer Engineering |
| title | States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon Estimation |
| title_full | States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon Estimation |
| title_fullStr | States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon Estimation |
| title_full_unstemmed | States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon Estimation |
| title_short | States and Parameters Estimation for Induction Motors Based on a New Adaptive Moving Horizon Estimation |
| title_sort | states and parameters estimation for induction motors based on a new adaptive moving horizon estimation |
| url | http://dx.doi.org/10.1155/2022/8687025 |
| work_keys_str_mv | AT stevealantallaouambo statesandparametersestimationforinductionmotorsbasedonanewadaptivemovinghorizonestimation AT alexandreteplairaboum statesandparametersestimationforinductionmotorsbasedonanewadaptivemovinghorizonestimation AT adolphemoukengueimano statesandparametersestimationforinductionmotorsbasedonanewadaptivemovinghorizonestimation |