Sensorless full-digital PMSM drive with EKF estimation of speed and rotor position

Abstract

This paper concerns the realization of a sensorless permanent magnet (PM) synchronous motor drive. Position and angular speed of the rotor are obtained through an extended Kalman filter. The estimation algorithm does not require either the knowledge of the mechanical parameters or the initial rotor position, overcoming two of the main drawbacks of other estimation techniques. The drive also incorporates a digital d-q current control, which can be easily tuned with locked rotor. The experimental setup includes a PM synchronous motor, a pulsewidth modulation voltage-source inverter, and floating-point digital-signal-processor-based control syste

New sensorless commutation technique for brushless DC motors

“…This may not be acceptable for certain applications and there have been attempts to develop sensorless techniques that give good performance right down to zero speed. Most of those attempts, while being saliency based, have been aimed at the brushless synchronous motor rather than the BLDC motor [5][6][7][8][9][10][11]. Saliency based sensorless techniques for brushless synchronous motors are relatively complex because all the three phases are excited one hundred percent of the time.…”

State Estimation of Permanent Magnet Synchronous Motor Using Improved Square Root UKF

“…The extended Kalman filter (EKF) has been successfully implemented as a state observer for induction motor (IM) drives in various areas [1][2][3][4][5][6][7][8]. However, EKF needs to calculate the nonlinear equation of the Jacobian matrix, which is sub-optimal and can easily lead to divergence.…”

A sensorless drive system for brushless DC motors using a digital phase‐locked loop

“…Moreover, Hanamoto and colleagues [13] presented a sensorless method of control of BLDC motors using an extended Back Electromotive Force (BEMF) observer. Also, Bolognani and colleagues [14] proposed a rotor position estimation algorithm with an extended Kalman filter. Tatematsu and colleagues [15] presented a sensorless driver that estimates the rotation speed by using a low-level linear observer.…”

“…One approach is to estimate the initial rotor position without position sensors in the stopped state of the rotor [7][8][9][10]. The other approach is that, after the BLDC motor rotates, the BLDC motor speed is controlled without position sensors [11][12][13][14][15][16][17][18][19][20][21][22]. The latter approach is especially considered in this paper.…”

“…However, these position sensors are very expensive, and produce complex problems involving motor assemblers, and wiring between a sensor board and a drive circuit. Thus, many efforts to realize light weight, compact size, and low price of BLDC motors without position sensors have been reported [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22].…”