Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data
The partial-update Kalman filter (PKF) is an extension of the Schmidt Kalman filter, which can improve the capabilities of the conventional extended Kalman filter for handling model uncertainties and nonlinearities. Herein, we adapt the PKF to estimate the states and parameters of electric machines,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9804715/ |
| _version_ | 1811329814385131520 |
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| author | Ajay Pratap Yadav Mohammadreza Davoodi Nicholas R. Gans Ali Davoudi |
| author_facet | Ajay Pratap Yadav Mohammadreza Davoodi Nicholas R. Gans Ali Davoudi |
| author_sort | Ajay Pratap Yadav |
| collection | DOAJ |
| description | The partial-update Kalman filter (PKF) is an extension of the Schmidt Kalman filter, which can improve the capabilities of the conventional extended Kalman filter for handling model uncertainties and nonlinearities. Herein, we adapt the PKF to estimate the states and parameters of electric machines, particularly in cases with intermittent observations. To account for missing data within the filter, the arrival of new measurements is treated as a Bernoulli process. We show that the estimation error of the proposed filter remains bounded if the system satisfies mild assumptions. Moreover, we show that the prediction error covariance matrix is guaranteed to be bounded if the observation arrival rate has a lower bound. Hardware experiments validate this technique for a surface-mounted permanent magnet synchronous motor. |
| first_indexed | 2024-04-13T15:50:34Z |
| format | Article |
| id | doaj.art-1e3af227f61746a2aa2e4f483c4e5acd |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T15:50:34Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1e3af227f61746a2aa2e4f483c4e5acd2022-12-22T02:40:51ZengIEEEIEEE Access2169-35362022-01-0110673056731510.1109/ACCESS.2022.31857449804715Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent DataAjay Pratap Yadav0Mohammadreza Davoodi1https://orcid.org/0000-0001-6035-1759Nicholas R. Gans2Ali Davoudi3https://orcid.org/0000-0003-2951-442XOak Ridge National Laboratory, Oak Ridge, TN, USADepartment of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USADepartment of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USADepartment of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USAThe partial-update Kalman filter (PKF) is an extension of the Schmidt Kalman filter, which can improve the capabilities of the conventional extended Kalman filter for handling model uncertainties and nonlinearities. Herein, we adapt the PKF to estimate the states and parameters of electric machines, particularly in cases with intermittent observations. To account for missing data within the filter, the arrival of new measurements is treated as a Bernoulli process. We show that the estimation error of the proposed filter remains bounded if the system satisfies mild assumptions. Moreover, we show that the prediction error covariance matrix is guaranteed to be bounded if the observation arrival rate has a lower bound. Hardware experiments validate this technique for a surface-mounted permanent magnet synchronous motor.https://ieeexplore.ieee.org/document/9804715/EstimationKalman filterspermanent magnet motorssystem identification |
| spellingShingle | Ajay Pratap Yadav Mohammadreza Davoodi Nicholas R. Gans Ali Davoudi Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data IEEE Access Estimation Kalman filters permanent magnet motors system identification |
| title | Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data |
| title_full | Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data |
| title_fullStr | Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data |
| title_full_unstemmed | Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data |
| title_short | Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data |
| title_sort | partial update kalman filter for permanent magnet synchronous motor estimates under intermittent data |
| topic | Estimation Kalman filters permanent magnet motors system identification |
| url | https://ieeexplore.ieee.org/document/9804715/ |
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