摘要
In this paper, a new sensorless interior permanent magnet synchronous motor （IPMSM） drives method with extended Kalman filter （EKF） for speed, rotor position and load torque estimation is proposed. The direct torque control （DTC） technique for permanem magnet synchronous motor （PMSM） is receiving increasing attention due to the important advantages of the low dependence on motor parameters when compared with other motor control techniques. The Kalman filter is an observer for linear and non-linear systems and is based on the stochastic intromission, in others words, noise. The PMSM is fed by an indirect power electronic converter which is controlled by a sliding mode technique. The simulation tests performed for different operating condi- tions have confirmed the robustness of the overall system; and it is shown that the sliding mode technique has successfully minimized the different harmonics introduced by the line converter.
In this paper, a new sensorless interior permanent magnet synchronous motor （IPMSM） drives method with extended Kalman filter （EKF） for speed, rotor position and load torque estimation is proposed. The direct torque control （DTC） technique for permanem magnet synchronous motor （PMSM） is receiving increasing attention due to the important advantages of the low dependence on motor parameters when compared with other motor control techniques. The Kalman filter is an observer for linear and non-linear systems and is based on the stochastic intromission, in others words, noise. The PMSM is fed by an indirect power electronic converter which is controlled by a sliding mode technique. The simulation tests performed for different operating condi- tions have confirmed the robustness of the overall system; and it is shown that the sliding mode technique has successfully minimized the different harmonics introduced by the line converter.
