Sensorless Control of Hydrogen Pump Using Adaptive Unscented Kalman Filter
This paper demonstrates a special and new type of non linear observer for a permanent magnet synchronous motor used in hydrogen pump applications. For nonlinear systems, the unscented Kalman filter (UKF) is a very popular approach for the controller design. Some researches have shown that the UKF is...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2020-06-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1770 |
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| Summary: | This paper demonstrates a special and new type of non linear observer for a permanent magnet synchronous motor used in hydrogen pump applications. For nonlinear systems, the unscented Kalman filter (UKF) is a very popular approach for the controller design. Some researches have shown that the UKF is usually more accurate than the extended Kalman filter (EKF) whereas the computation burden is the same in both cases. However, the performance of traditional Kalman filter may degrade when process noise and load are constantly changing or a sudden disturbance occurs due to the fixed process noise covariance (Q matrix) in the filter, which is the case in fuel cell systems where a hydrogen pump is used. An adaptive gain is calculated to compensate for the mismatch between the actual residual covariance and the deduced value from the filter, ensuring that the sequence of residual is uncorrelated. Also, the derivation of the proposed adaptive UKF is explained in details. Finally, experimental tests under sensorless position control for hydrogen pump are carried out with the proposed method, in which the feasibility and effectiveness of the algorithm is shown. |
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| ISSN: | 1007-2683 |