文章詳目資料
Journal of Computers EIMEDLINEScopus
加入收藏
下載文章
| 篇名 | MRAS Speed Observer for Permanent Magnet Linear Synchronous Motor Based on RBF Neural Networks |
|---|---|
| 卷期 | 31:2 |
| 作者 | Qi-Yong Chen 、 Rong-Kun Wang 、 Fei Man 、 Kai Peng 、 Bing-Tao Hu 、 Dong Yan |
| 頁次 | 001-011 |
| 關鍵字 | model reference adaptive system 、 permanent magnet linear synchronous motor 、 radial basis function neural network 、 speed sensorless control 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 202004 |
| DOI | 10.3966/199115992020043102001 |
中文摘要
英文摘要
In order to realize speed sensorless control of permanent magnet synchronous linear motors (PMLSMs) in the whole speed range, a model reference adaptive system (MRAS) speed observer based on radial basis function neural network (RBFNN) is proposed to observe the speed information of PMLSMs in this paper. The speed observer uses a RBFNN as its adaptive mechanism and achieves the speed accurate estimation by taking advantage of strong nonlinear approximation ability of the RBFNN. In addition, a RBFNN identifier is designed to provide gradient information for the RBFNN in the speed observer. Simulation and experiment indicate that the speed observer can accurately observe the speed in the whole speed range for PMLSMs and has good dynamic response characteristics.
本卷期文章目次
- Facial Expression Recognition Based on Deep Residual Network / Junsuo Qu、Ruijun Zhang、Zhiwei Zhang、Jeng-Shyang Pan
- Construction of Joint Simulation Platform and Model Identification for Water Storage Air Conditioning System / Yong-Shun Wang、Dong Wei、Kun Liu
- The Three-dimensional Panning Method for Reconstructing Sound Field with the Listening Angle / Ao-Ao Yang、Cong Zhang、Song Wang、Han-Chieh Chao
- Research on Hybrid Artificial Intelligence Optimization Algorithm for Grain Transportation / Yiting Zhen、Kang Zhou、Haocheng Fang、Long Hu、Zhuo’er Dai、Wanying Liang、Sisi Zhou