A motor drive comprises a rectifier arranged to receive an externally supplied AC voltage and to generate a DC bus voltage. An inverter is arranged to receive the DC bus voltage and to generate an AC output voltage for supply to an external load. A DC bus portion is connected between the rectifier and the inverter. The DC bus comprises first and second conductors, wherein an inductor is connected in series along the first conductor between the rectifier and the inverter. A DC link capacitor is connected in parallel between the conductors. A controller is arranged to supply a plurality of perturbation signals at a first node between the rectifier circuit portion and the DC bus portion, to measure a respective response signal at a second node between the DC bus and the inverter and is is arranged to generate a parameterised model of a transfer function of the DC.

A control system for an induction motor executes an on-board, dynamic model to estimate rotor resistance and control the torque output by the induction motor. The model includes equations to calculate stator and rotor temperatures and/or resistances based on combinations of voltage and current data, electrical frequency, rotor speed, switching patterns, and air flow rates during operation of the induction motor. The control system updates the model based on feedback collected during the operation of the induction motor, including the difference between the actual observed stator temperature and the stator temperature predicted by the model. The model is updated to converge the predicted stator temperature on the actual observed stator temperature, and corresponding updates are made to the rotor resistance estimations to provide more accurate estimations of the rotor resistance and improve the accuracy of the induction motor torque output.

The present disclosure provides a system and a method for controlling motor parameters. The system includes a feedforward processing module performing a linear processing on a control signal according to parameters; a control object module including a DAC digital to analog converter, an amplifying circuit and an ADC analog to digital converter, a control signal processed by the feedforward processing module passing through the DAC digital to analog converter, and amplified by the amplifier circuit, and passing through the ADC analog to digital converter to obtain a voltage ν.sub.c.Math.m[n] and a current i.sub.c.Math.m[n] across the motor; a system identification module including an LMS adaptive filter, a Least mean square filtering performed on an error signal ε.sub.oei[n] between a measured current i.sub.c.Math.m[n] and a prediction current i.sub.c.Math.p[n], results of iteration feed back to the feedforward processing module, and the feedback results applied to the next data acquisitions and parameters calculations.

A method for operating an electrically commutated machine. In at least one method step, in particular in at least one method step of overmodulation operation of the electrically commutated machine, a precommutation angle of the electrically commutated machine is set depending on an efficiency of the electrically commutated machine.

A method for adaptive motor control includes acquiring current parameters in an operation process of the motor at a current moment; determining a type of a region in which the motor operates at the current moment according to the current parameters; triggering a corresponding motor model according to the type of the region in which the motor operates at the current moment; and inputting the current parameters into the corresponding motor model, generating control parameters for motor operation according to the current parameters, and controlling the operation of the motor according to the control parameters for motor operation. An apparatus and a computer-readable storage medium are also disclosed. In comparison with the conventional motor control which uses the single nonlinear model, the motor control method disclosed herein can greatly improve the reliability of the control.

A motor drive comprises a rectifier arranged to receive an externally supplied AC voltage and to generate a DC bus voltage. An inverter is arranged to receive the DC bus voltage and to generate an AC output voltage for supply to an external load. A DC bus portion is connected between the rectifier and the inverter. The DC bus comprises first and second conductors, wherein an inductor is connected in series along the first conductor between the rectifier and the inverter. A DC link capacitor is connected in parallel between the conductors. A controller is arranged to supply a plurality of perturbation signals at a first node between the rectifier circuit portion and the DC bus portion, to measure a respective response signal at a second node between the DC bus and the inverter and is is arranged to generate a parameterised model of a transfer function of the DC.

A motor controller for an electric motor is provided. The electric motor is configured to drive a blower to generate an airflow. The motor controller includes a memory and a processor coupled thereto. The memory is configured to store a speed-to-airflow ratio associated with an airflow restriction on the blower. The processor is configured to receive a command for a calibrating airflow and operate the electric motor in a constant airflow mode to generate the calibrating airflow at a calibrating speed. The processor is further configured to write the calibrating speed and the calibrating airflow to the memory as the speed-to-airflow ratio.

An object of the present invention is to provide a motor control device capable of estimating a delay with high accuracy even in a case where there is a fluctuation in disturbance torque or delay time and of suppressing the influence of the delay. For this end, the present invention includes a motor MTR, an ECU 2 that controls the rotation of the motor MTR, and an ECU 1 that sends a torque command to the ECU 2 based on a command value. The ECU 1 includes a disturbance estimation block 100 and a delay estimation block 200. The disturbance estimation block 100 estimates disturbance torque (τd) using a torque command input to the ECU 2 and a feedback value of the motor MTR. The delay estimation block 200 estimates a delay using a torque command output from the ECU 1, the feedback value of the motor MTR, and the disturbance torque (τd).

A clothing management using a moving hanger is provided. A method of controlling a clothing styler according to an embodiment of the present disclosure determines a weight of clothing using a current RPM (cRPM) determined based on a PWM value provided to a motor and a prediction model based on the pre-trained artificial neural and may perform a suitable control operation according to the determined weight. The clothing styler of the present disclosure may be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, and a device related to a 5G service.

Disclosed embodiments include an apparatus for closed loop control of a linear resonant actuator comprising a motor drive circuit configured to provide a motor drive signal, a current and voltage sensing circuit coupled to the output terminal of the motor drive circuit and across the motor, and having current sense and a voltage sense outputs. A resonant frequency and back emf extraction circuit receives the current sense and voltage sense outputs, and outputs a resonant frequency signal output and a measured back emf signal output. An actuator model circuit has inputs coupled to the output of the motor drive circuit, the resonant frequency signal output, and a mechanical system quality factor signal generated by an adaptation circuit having an input coupled to the error summing circuit output. The error summing circuit has inputs coupled to the output of the actuator model and the measured back emf signal.