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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xinda Song Jiancheng Fang Bangcheng Han Shiqiang Zheng |
| Copyright Year | 1986 |
| Abstract | To improve the performance of the surface permanent magnet synchronous motor drives, a sensorless control scheme based on the sliding-mode observer with an orthogonal phase-locked loop (PLL) incorporating two synchronous frequency-extract filters (SFFs) is proposed. The rotor position estimation errors are analyzed. The analysis results show that the harmonic errors of the estimated signal are hard to eliminate completely. Therefore, an improved adaptive notch filter - The SFF is proposed to extract the fundamental wave of the rotor position estimation before applying to the PLL. This method of the PLL combined SFFs can compensate the estimated back electromotive force harmonic error efficiently and adaptively. An experimental driveline system used for testing the electrical performance of the developed magnetically suspended motor is built. The effectiveness and the feasibility of the proposed method are validated with the experimental results. |
| Sponsorship | IEEE Power Electronics Society |
| Starting Page | 1438 |
| Ending Page | 1449 |
| Page Count | 12 |
| File Size | 5073120 |
| File Format | |
| ISSN | 08858993 |
| Volume Number | 31 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2016-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Harmonic analysis Power harmonic filters Rotors Phase locked loops Synchronous motors Observers Sliding-Mode observer (SMO) sensorless, rotor position estimated error adaptive compensation, high-speed surface permanent magnet synchronous motor (SPMSM) sliding-mode observer (SMO) Adaptive compensation sensorless |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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