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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guang-Ye Li Jian-Ru Wan Ying-Pei Liu Shen Hong Chen-Hu Yuan |
| Copyright Year | 2009 |
| Description | Author affiliation: Institute of Electrical and Automation Engineering, Tianjin University, 300072, China (Guang-Ye Li; Jian-Ru Wan; Ying-Pei Liu; Shen Hong; Chen-Hu Yuan) |
| Abstract | There are many torque ripples in traditional direct torque control (DTC) for permanent magnet synchronous motor(PMSM) drive, which are caused by the error of flux linkage estimation and hysteresis band amplitudes, etc.To solve these problems , a radial basis Function (RBF) neural networks was designed to estimate the stator flux linkage, and fuzzy controller, in which zero-voltage vector is used, was designed to replace the traditional hysteresis controllers. Therefore, intelligence DTC strategy was accomplished. concerted control between flux linkage and torque is realized. The flux linkage error and torque error are classified reasonably by fuzzy controller and electromagnet torque ripples are dramatically reduced. Meanwhile, rapid torque response and strong robustness of direct torque control method are still maintained. The simulation and experiment results have verified the feasibility and effectiveness of this method. |
| Starting Page | 755 |
| Ending Page | 760 |
| File Size | 312345 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424437023 |
| DOI | 10.1109/ICMLC.2009.5212463 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Permanent magnet motors Torque control Couplings Error correction Amplitude estimation Hysteresis Fuzzy control Neural networks Stators Fuzzy neural networks RBF Neural Networks Permanent Magnet Synchronous Motor (PMSM) Direct Torque Control (DTC) Fuzzy Control |
| Content Type | Text |
| Resource Type | Article |
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