- 作者: JUI-JUNG LIU, I-CHUNG KUNG, AND HUI-CHENG CHAO
- 中文摘要: This paper considers the problem of estimating the speed of an induction motor using a non-linear identification technique. A discrete-time non-linear identification approach, NARMAX (Non-linear Auto Regressive Moving Average model with eXogenous inputs), is presented to describe a polynomial modeling between the speed and voltages of an induction motor for estimating the motor speed. This approach is useful for identifying the non-linear relationship between the speed and voltages of an induction motor. The feasibility and accuracy of the proposed method are verified through laboratory tests. This approach will replace the speed sensor used in a speed control closed loop motor system. In addition, a future robust controller design based on the NARMAX model will apply an innovative and simplified speed control algorithm for an induction motor. The last research is now underway.
- 英文摘要: --
- 中文關鍵字: induction motor, modeling, NARMAX, non-linear identification
- 英文關鍵字: --