頁籤選單縮合
| 題 名 | Adaptive Output Tracking of Transverse Flux Machines Using Neuro-Fuzzy Approach |
|---|---|
| 作 者 | Babazadeh, A.; Karimi, H. R.; | 書刊名 | 淡江理工學刊 |
| 卷 期 | 9:2 民95.06 |
| 頁 次 | 頁115-120 |
| 分類號 | 448.942 |
| 關鍵詞 | Neuro-fuzzy; Output tracking; Transverse flux permanent magnet machines; |
| 語 文 | 英文(English) |
| 英文摘要 | This paper deals with adaptive output tracking of a transverse flux permanent magnet machine as a nonlinear system with unknown nonlinearities by utilizing Takagi-Sugeno type neuro-fuzzy networks. The technique of feedback linearization and H(subscript ∞) control are used to design an adaptive control law for compensating the unknown nonlinear parts, such the effect of cogging torque, as a disturbance on the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown by the simulation results. |
本系統中英文摘要資訊取自各篇刊載內容。