Advanced Speed-sensorless Induction-motor Drive

Design of Sensorless Vector Control System for Induction Motors

“…The rotor speed online identification is the key in the sensorless vector control system of induction motor. The speed identification methods proposed by domestic and foreign scholars mainly include slip frequency calculation, series dual-model speed observation, direct synthesis based on state equation, extended Kalman filter, MRAS identification, and so on [5]. MRAS is widely used due to its simple structure, excellent performance and good stability, mainly including rotor flux method, rotor B-EMF method, rotor instantaneous reactive power method, and so on.…”

Real-time computation-efficient formulation for speed-sensorless drive of induction motors

“…The standard dq model for induction motors can be expressed as follows [4,6,7]: T ©2008 IEEE. rotor flux.…”

“…The following presents a formulation for the manufacturerrecommended speed-sensorless control of induction motors using the Extended Kalman Filter (EKF) method [2][3][4][5][6][7]. This presentation is used for comparisons with the proposed new speed-sensorless control named ASID detailed in Section III.…”

“…Recently, there has been an increasing interest in the research for accurate speed-sensorless control of induction motors [1][2][3][4][5][6]. Instead of measuring the motor speed using a sensor, the speed-sensorless control estimates the speed by real-time numerical computations with the use of measured motor input currents, as shown in Fig.1(b) and state-of-the-art digital signal processing (DSP) technology [7]. The speed estimation is interesting but challenging for the induction motor, as its mechanical speed is generally different from the rotating speed of the motor magnetic flux generated by the motor power supply.…”