Abstract: A motor controller configured to drive a permanent magnet synchronous motor (PMSM) with Field Oriented Control (FOC), includes a current controller configured to generate control signals for driving the PMSM. The current controller is configured to measure current information of the PMSM, including a direct-axis motor current and a quadrature-axis motor current. The current controller includes a direct-axis current regulator configured to receive a direct-axis reference current and the direct-axis motor current to generate a direct-axis error value based on a difference between the direct-axis reference current and the direct-axis motor current. The current controller includes a voltage regulator configured to regulate a DQ voltage vector comprising a direct-axis motor voltage and a quadrature-axis motor voltage, wherein the voltage regulator generates the direct-axis motor voltage based on the direct-axis error value and a voltage vector limiting function to drive the direct-axis motor current to zero.

Abstract: A motor controller configured to drive a permanent magnet synchronous motor (PMSM) with Field Oriented Control (FOC), includes a current controller configured to generate control signals for driving the PMSM. The current controller is configured to measure current information of the PMSM, including a direct-axis motor current and a quadrature-axis motor current. The current controller includes a direct-axis current regulator configured to receive a direct-axis reference current and the direct-axis motor current to generate a direct-axis error value based on a difference between the direct-axis reference current and the direct-axis motor current. The current controller includes a voltage regulator configured to regulate a DQ voltage vector comprising a direct-axis motor voltage and a quadrature-axis motor voltage, wherein the voltage regulator generates the direct-axis motor voltage based on the direct-axis error value and a voltage vector limiting function to drive the direct-axis motor current to zero.

Abstract: This application discusses techniques for providing sensorless rotor position information of a multiple phase motor without using predetermined motor parameters or models, other than the number of phases of the motor. In certain examples, motor rotor position information can be provided using samples of current from zero-voltage vectors of the motor windings.

Abstract: The present disclosure provides a system and method to determine at least one parameter of a motor, such as an inductance. The inductance can be determined, such as based on one or more digitally sampled motor winding currents. A digital filter can be applied to the digital samples such as to determine a slope of the motor winding currents. The digital filter can include a least squares fit that can be applied to the digital samples, such as to determine a slope of the motor winding currents. The least squares fit can be determined based on a computation of central tendencies such as an average value of time, an average value of current, an average value of the square of time, and the average value of the product of time and current. The average values can be determined recursively to provide improved computational speed.

Abstract: This application discusses techniques for providing sensorless rotor position information of a multiple phase motor without using predetermined motor parameters or models, other than the number of phases of the motor. In certain examples, motor rotor position information can be provided using samples of current from zero-voltage vectors of the motor windings.

Abstract: The present disclosure provides a system and method to determine at least one parameter of a motor, such as an inductance. The inductance can be determined, such as based on one or more digitally sampled motor winding currents. A digital filter can be applied to the digital samples such as to determine a slope of the motor winding currents. The digital filter can include a least squares fit that can be applied to the digital samples, such as to determine a slope of the motor winding currents. The least squares fit can be determined based on a computation of central tendencies such as an average value of time, an average value of current, an average value of the square of time, and the average value of the product of time and current. The average values can be determined recursively to provide improved computational speed.