A rotary current machine system and method for controlling an electric rotary current machine, in particular an induction machine, having a rotor, a stator and at least two phase windings is disclosed. At least one electrical signal, in particular a voltage signal, is applied to at least one phase winding, preferably all phase windings, of the rotary current machine, and the current waveform in the at least one phase winding is measured. An intermodulation signal component, induced in the rotary current machine by slotting effects and magnetic saturation effects, which is determined from the current waveform measured in the at least one phase winding, is used for controlling the rotary current machine.

A shift range control device switches a shift range by controlling driving of a motor. A learning unit learns, as a position correction value, a normal state time correction value calculated based on first and/or second reference angles when an output shaft signal is available when turning on of a start switch. The first reference angle is a motor angle when the output shaft signal changes in response to the rotation of the motor in a first direction. The second reference angle is the motor angle when the output shaft signal changes in response to the motor rotation in a second direction opposite to the first direction. A motor angle target value is set by using the normal state time correction value stored during a period from when all the output shaft signals are determined to be unavailable to when the start switch is turned off.

A method for controlling a planar drive system includes determining values of magnetic stator fields for different energizing currents and spatial regions in a two-dimensional array of magnetic field sensors, generating at least one magnetic stator field by applying energizing currents to stator conductors to electrically control a rotor, determining measured values of a total magnetic field via the magnetic field sensors for a plurality of the spatial regions to determine a position of the rotor, compensating contributions of the magnetic stator fields to the measured values of the total magnetic field determined by the magnetic field sensors, generating measured values of the magnetic field determined by the respective magnetic field sensors for the respective space regions, and determining a position of the rotor based on the generated measured values of the magnetic fields. The planar drive system includes at least a controller, a stator module, and a rotor.

A variable setting drivetrain for use with a vehicle including a controller in operable communication with an electric motor and configured to provide signals to the motor representative of a target output torque vector, where the controller is configured to calculate the target output torque vector by taking the weighted average of a first torque vector determined using a first output map, a second torque vector determined using a second output map, and a third torque vector determined using a third output map.

A dynamic load system includes a first electric machine simulating a load, a second electric machine, a coupling device for mechanically coupling the first electric machine to the second electric machine, a control unit with a processor and connected to the first electric machine and the second electric machine, wherein the control unit is configured to control the first electric machine and the second electric machine, wherein a reference value of the second electric machine is utilized to achieve a specific performance of the first electric machine.

An electronic device includes an artificial intelligence processor that is configured to generate second information for controlling an electric component including at least one of a drive unit that applies propulsion force to a human-powered vehicle, an electric adjustable seatpost, and an electric suspension in accordance with first information related to at least one of the human-powered vehicle, a rider of the human-powered vehicle, and an environment of the human-powered vehicle. The artificial intelligence processor changes a process for generating the second information in accordance with the first information and in accordance with an operation of a first operation unit for operating the at least one of the drive unit, the electric adjustable seatpost, and the electric suspension.

A human-powered vehicle control device includes an artificial intelligence processor, an operation device, and a communication device. The artificial intelligence processor is configured to generate second information for controlling an electric component of a human-powered vehicle in accordance with first information related to at least one of the human-powered vehicle, a rider of the human-powered vehicle, and an environment of the human-powered vehicle. The operation device operates the electric component. The communication device is configured to communicate with an external device. The artificial intelligence processor is configured to change a process for generating the second information in accordance with the first information and an operation of the operation device. The communication device is configured to transmit third information related to a process for generating the second information to the external device.

A processing apparatus acquires a first rise transition that is a rise transition of the temperature of a winding and a second rise transition that is a rise transition of the temperature detected by a temperature sensor in a state where voltage application for raising the temperature of the winding to a predetermined temperature is performed, determines a predetermined temperature characteristic model by calculating a predetermined parameter on the basis of the second rise transition, and further determines a winding temperature characteristic model by calculating a winding related parameter on the basis of the first rise transition.

A method for detecting an obstacle opposing the movement of a screen in a home automation closure or sun protection system includes an electromechanical actuator driving movement of the screen. The electromechanical actuator includes a torque support, a housing, an output shaft, and an electric motor including a stator and a rotor. The system includes a winding shaft rotating the screen and a connecting accessory between the electromechanical actuator's output shaft and the winding shaft. The method includes: determining an angular displacement value of the rotor with respect to the stator; determining angular displacement of the winding shaft relative to the housing or torque support of the electromechanical actuator; determining angular deformation of the kinematic chain between the electric motor and the winding shaft by comparing these two angular displacements; and determining the presence of an obstacle to screen movement from an angular deformation exceeding a predefined value.

A system for fault detection and control in an electric aircraft including an inertial measurement unit, the inertial measurement unit including at least a sensor configured to detect a torque datum associated with at least a propulsor. The system includes an observer, the observer configured to generate a torque prediction datum associated with the at least a propulsor, compare the torque prediction datum with the torque datum, and generate a residual datum as a function of the comparison. The system includes a mixer, the mixer comprising circuitry configured to generate, as a function of the residual datum, a torque priority command datum and transmit, to the at least a propulsor, the torque priority command datum.