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 vibration control system includes: a reception section configured to receive eccentric motor drive data that is included in a program for an application and is for causing vibration of an eccentric motor vibration device; a vibration device for which a resonance frequency is higher than that of the eccentric motor vibration device and whose amplitude and frequency are controllable; and a vibration data generation section configured to generate vibration data for causing vibration of the vibration device based on the received eccentric motor drive data. The vibration data generation section generates the vibration data, which indicates a second waveform having an envelope with a change trend that correlates to a change trend of an envelope of a first waveform indicated by vibration of the eccentric motor vibration device vibrated by the eccentric motor drive data, the second waveform having a higher frequency than the first waveform.

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.

Disclosed is a method for control loop performance monitoring in a variable frequency drive. A set of data is inputted to one or more control loop performance monitoring algorithms comprised in the variable frequency drive, wherein the set of data comprises at least a measured value of a process variable, a target value for the process variable, a set of controller input parameters, and a controller output. An output from each of the one or more control loop performance monitoring algorithms is obtained based at least partly on the set of data. One or more key performance indicator values indicative of control loop performance are determined based at least partly on the output from each of the one or more control loop performance monitoring algorithms. The set of controller input parameters is adjusted based at least partly on the one or more key performance indicator values.

A method adjusts values of a plurality of parameters of at least one controller of an electric drive system. The method provides an individual replacement parameter value that can be adjusted by a user. After adjusting the replacement parameter value, the method calculates the values of the plurality of parameters from the adjusted replacement parameter value.

The identification method according to an embodiment is used for an identification device for identifying the type of a brushless DC motor. A brushless DC motor includes an output terminal for outputting a signal. The output terminal is able to output a signal obtained by superimposing signal types. The signal resulting from the superimposition is different depending on the types of brushless DC motors. In the identification method, power is supplied to a brushless DC motor, and the signal resulting from the superimposition that is output from the output terminal of the brushless DC motor is input to an identification device. The signal resulting from the superimposition is separated into signal types, and the separated signals are used to identify the type of the brushless DC motor.

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.

A control device for actuating an electric motor has: a temperature sensor interface for connecting an external temperature sensor, wherein the temperature sensor is provided to monitor the temperature of the electric motor, and a monitoring unit, which is configured to evaluate at least one temperature-dependent property of the temperature sensor in order to monitor the temperature of the electric motor and to exchange data with the electric motor via the temperature sensor interface independently of and in addition to the temperature monitoring.

A setting support device according to the present invention is provided with: a first identification means that identifies an evaluation index value indicating the stability or control performance of motor control by a motor control device in each of a plurality of load device states in which a load device is in mutually different orientations or situations; a second identification means that identifies, for each control device state, a combined evaluation index value representative of the evaluation index values in the plurality of load device states, identified for that control device state by the first identification means; and a recommended-value output means that identifies and outputs a recommended value of at least one control parameter on the basis of the combined evaluation index value identified for each control device state by the second identification means.

Provided herein are systems, methods, and software for improving drive efficiency in an industrial automation system. In one implementation, a system comprises a mechanical load, an electromechanical device attached to the mechanical load, and a drive coupled to the electromechanical device. A processor is programmed to generate and display an acceleration curve, a duplicate acceleration curve, an energy curve and a duplicate energy curve. A user input is received indicating a change to at least a portion of the duplicate acceleration curve, and a change to the duplicate energy curve is calculated and displayed. A modified command signal based on the user input is calculated, and the drive is configured to control the electromechanical device via the modified command signal to mechanically operate the mechanical load perform a task.