Speed Sensorless Direct Torque Control of an Induction Motor Using an Extended Kalman Filter
碩士 === 國防大學中正理工學院 === 電子工程研究所 === 90 === This thesis deals with the estimation and control of the rotor speed of sensorless induction motor drives in the direct torque control (DTC) framework using the extended Kalman filter (EKF) algotithm. By including the rotor speed as the state varia...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/95379918481900854704 |
| Summary: | 碩士 === 國防大學中正理工學院 === 電子工程研究所 === 90 === This thesis deals with the estimation and control of the rotor speed of sensorless induction motor drives in the direct torque control (DTC) framework using the extended Kalman filter (EKF) algotithm. By including the rotor speed as the state variable, the EKF equations are established from a discrete two-axis model of the three-phase induction motor. The extended Kalman filter is employed to identify the speed of an induction motor based on the measured voltages and currents. The estimated speed is used for direct torque control and overall speed control.
The validity of the proposed sensorless DTC framework using the EKF method is verified by simulation and experimental tests on a 1 hp induction motor drive. The results show that the proposed method has a good torque property and possesses a smooth flux dynamic response.
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