Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines
Abstract Generalized predictive control (GPC) is promising for permanent magnet synchronous machine drive systems, due to its outstanding dynamic performance and disturbance rejection capability. However, the speed measurement noise introduced by the encoder and the unmodelled disturbances introduce...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | IET Electric Power Applications |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/elp2.12009 |
| _version_ | 1828099921246420992 |
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| author | Tao Wang Zi‐Qiang Zhu Nuno Miguel Amaral Freire Zhanyuan Wu Martin Foster David A. Stone |
| author_facet | Tao Wang Zi‐Qiang Zhu Nuno Miguel Amaral Freire Zhanyuan Wu Martin Foster David A. Stone |
| author_sort | Tao Wang |
| collection | DOAJ |
| description | Abstract Generalized predictive control (GPC) is promising for permanent magnet synchronous machine drive systems, due to its outstanding dynamic performance and disturbance rejection capability. However, the speed measurement noise introduced by the encoder and the unmodelled disturbances introduced by the non‐ideal machine characteristics deteriorate the performance of GPC. The noise and disturbance issues are studied in detail, and an enhanced GPC method is proposed to address them. For the noise issue, the mathematical model of the speed measurement noise is derived, and the noise spectra at different speeds are analysed. Then, a novel GPC with internal low‐pass filter is proposed to reject the influence of the noise. For the disturbance issue, the influence of the unmodelled disturbances on the speed performance is assessed when applying different noise rejection methods, and a resonant controller‐based speed ripple mitigation method is proposed and integrated to the GPC. Experimental results show that the proposed methods can effectively deal with the noise and disturbance issues, as well as providing better dynamic performance than the conventional PI based speed control. |
| first_indexed | 2024-04-11T08:21:14Z |
| format | Article |
| id | doaj.art-494a65c2dc544d84ba0fb3019fc93a9c |
| institution | Directory Open Access Journal |
| issn | 1751-8660 1751-8679 |
| language | English |
| last_indexed | 2024-04-11T08:21:14Z |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Electric Power Applications |
| spelling | doaj.art-494a65c2dc544d84ba0fb3019fc93a9c2022-12-22T04:34:57ZengWileyIET Electric Power Applications1751-86601751-86792021-01-01151637810.1049/elp2.12009Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machinesTao Wang0Zi‐Qiang Zhu1Nuno Miguel Amaral Freire2Zhanyuan Wu3Martin Foster4David A. Stone5Department of Electronic and Electrical Engineering The University of Sheffield Sheffield UKDepartment of Electronic and Electrical Engineering The University of Sheffield Sheffield UKSiemens Gamesa Renewable Energy A/S Brande DenmarkSiemens Gamesa Renewable Energy A/S Brande DenmarkDepartment of Electronic and Electrical Engineering The University of Sheffield Sheffield UKDepartment of Electronic and Electrical Engineering The University of Sheffield Sheffield UKAbstract Generalized predictive control (GPC) is promising for permanent magnet synchronous machine drive systems, due to its outstanding dynamic performance and disturbance rejection capability. However, the speed measurement noise introduced by the encoder and the unmodelled disturbances introduced by the non‐ideal machine characteristics deteriorate the performance of GPC. The noise and disturbance issues are studied in detail, and an enhanced GPC method is proposed to address them. For the noise issue, the mathematical model of the speed measurement noise is derived, and the noise spectra at different speeds are analysed. Then, a novel GPC with internal low‐pass filter is proposed to reject the influence of the noise. For the disturbance issue, the influence of the unmodelled disturbances on the speed performance is assessed when applying different noise rejection methods, and a resonant controller‐based speed ripple mitigation method is proposed and integrated to the GPC. Experimental results show that the proposed methods can effectively deal with the noise and disturbance issues, as well as providing better dynamic performance than the conventional PI based speed control.https://doi.org/10.1049/elp2.12009angular velocity controllow‐pass filtersmachine controlpermanent magnet motorsPI controlpredictive control |
| spellingShingle | Tao Wang Zi‐Qiang Zhu Nuno Miguel Amaral Freire Zhanyuan Wu Martin Foster David A. Stone Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines IET Electric Power Applications angular velocity control low‐pass filters machine control permanent magnet motors PI control predictive control |
| title | Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines |
| title_full | Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines |
| title_fullStr | Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines |
| title_full_unstemmed | Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines |
| title_short | Study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines |
| title_sort | study on noise and disturbance issues of generalized predictive speed control for permanent magnet synchronous machines |
| topic | angular velocity control low‐pass filters machine control permanent magnet motors PI control predictive control |
| url | https://doi.org/10.1049/elp2.12009 |
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