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 speed and security of the monitoring the operation of a drive component is improved by transferring data relating to the drive component and/or to the operation of the drive component to a central IT infrastructure. Within the central IT infrastructure, the transferred data are associated with a first model of the drive component, and with a second model of at least one virtual component associated with the first model. An operating state of the drive component is determined from a correlation of the first and second models.

A motor parameter tracking method, which can dynamically track motor parameters includes: exciting, with a voltage excitation signal, a motor to operate, and acquiring at least one actual voltage across two terminals of the motor and an actual current flowing through the motor in an operating state; modelling a voltage error of the motor based on the at least one actual voltage and the actual current to obtain a voltage error function of the motor; and performing iteration on at least one motor parameter based on the voltage error function and a preset iterative step. With the method, the difference between different batches of motors can be adaptively adjusted, and parameter changes caused by a motor temperature, a motor posture and the like can be dynamically tracked. All motor parameters are provided with a same step, which reduces the difficulty of parameter adjustment and the sensitivity of algorithms to parameters.

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.

Examples include a method for controlling an electric motor using a variable speed drive based on input parameters of the variable speed drive. The method uses initial estimated parameters of an electric motor and measurements of the variable speed drive at operating points of the electric motor to determine accurate input parameters of the variable speed drive.

Disclosed herein are a motor control apparatus and method. The motor control apparatus includes a compensation signal generator configured to apply a DC-Link voltage (V.sub.Link) for driving a motor to a parameter map preset in order to estimate a gain and phase of a motor torque ripple generated when the motor is driven according to a motor command current and a motor rotation speed, and to generate a compensation signal (i.sub.comp) for compensating for the motor torque ripple corresponding to a current input motor command current (i.sub.q*), motor rotation speed (ω.sub.m), and DC-Link voltage (V.sub.Link), and a current controller configured to control the current of the motor by controlling an inverter such that a compensation command current (i.sub.q*_.sub.comp), generated by reflecting the compensation signal (i.sub.comp), in the motor command current (i.sub.q*), coincides with a motor drive current (i.sub.q) supplied to the motor from the inverter.

Systems and methods are disclosed for voltage-less electrical signature analysis for fault protection. The systems and methods described herein may involve determining voltage values for a motor (which may then be used to estimate a speed of the motor) when complete voltage measurements may not be available, or may only be temporarily available. More specifically, the systems and methods described herein may address three scenarios, which may include at least: (1) when only a single phase voltage input is available for a three-phase motor, (2) when no voltage input is available, or (3) when a voltage input is only available for a limited period of time (for example, during a learning phase of the motor).

The present disclosure relates to a method and a device for end position detection of actuators.

The speed and security of the monitoring the operation of a drive component is improved by transferring data relating to the drive component and/or to the operation of the drive component to a central IT infrastructure. Within the central IT infrastructure, the transferred data are associated with a first model of the drive component, and with a second model of at least one virtual component associated with the first model. An operating state of the drive component is determined from a correlation of the first and second models.

The disclosure relates to a method and to a device for controlling a steering system and to a steering system having electric steering assistance, wherein a reference variable for the steering assistance is predefined by a steering controller, the steering system is controlled as a function of the reference variable, a compensation value to compensate for a dynamic behavior of an axle steered by the steering system is determined on the basis of a model, the reference variable is determined as a function of the compensation value. The disclosure further relates to a method and to a device for emulating dynamics of the steered axle.