A system for estimating the angular position of a rotating shaft in an aircraft, the system including at least three electromagnetic effect sensors. The system including a flight controller that runs a voting algorithm, wherein the voting algorithm computes an output datum based on shaft position datum that qualify as both active and admissible. Furthermore, system may include, as a component of the voting algorithm, a banning process where sensors that repeatedly return datum that are either not active or not admissible can be banned.

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 method for controlling a planar drive system includes generating a position allocating function, in an allocation generating step; measuring a plurality of measuring values of the magnetic rotor field by magnetic field sensors for a position of the rotor relative to the stator module, in a magnetic rotor field determining step; applying the position determination function to the plurality of measuring values of the magnetic rotor field of the plurality of magnetic field sensors, in a measuring value analysis step; and determining the position of the rotor relative to the stator module on the basis of the measurements of the magnetic rotor field measured by the plurality of magnetic field sensors and based on the allocations of the position allocating function, in a position determining step. The application further relates to such a planar drive system.

An apparatus for driving a motor comprising a first plurality of neurons of neural network circuitry, motor circuitry, and a second plurality of neurons of the neural network circuitry. The first plurality of neurons is configured to generate a first cycle value based on a target speed. The motor circuitry is configured to control, based on the first cycle value, a set of switching elements to drive the motor. The second plurality of neurons is configured to train the second plurality of neurons to generate, based on a resulting speed value for the motor that occurs when the motor circuitry has controlled the set of switching elements to drive the motor based on the first cycle value, a second cycle value to minimize a difference between the second cycle value and the first cycle value.

An abnormality determination system includes a state quantity obtaining circuit and an abnormality determination circuit. The state quantity obtaining circuit is configured to obtain a state quantity associated with a mechanical system. The abnormality determination circuit is configured to, according to a learning content obtained in a machine learning process and based on the state quantity, determine as to at least one of an occurrence of an abnormality in the mechanical system, an occurrence position of the abnormality, and a cause of the abnormality.

Parameters relating to rotation of a motor (2) measured every constant time are acquired and the moving average of each constant interval of the parameters is calculated. The calculated moving averages are input to a training model trained so as to output a temperature of magnets attached to a rotor (7) of the motor (2) when the moving averages of the parameters relating to rotation of the motor (2) are input, and an estimated value of the magnet temperature output from the model is acquired. Next, the acquired estimated value of the magnet temperature is output.

Parameters relating to rotation of a motor (2) measured every constant time are acquired and the moving average of each constant interval of the parameters is calculated. The calculated moving averages are input to a training model trained so as to output a temperature of magnets attached to a rotor (7) of the motor (2) when the moving averages of the parameters relating to rotation of the motor (2) are input, and an estimated value of the magnet temperature output from the model is acquired. Next, the acquired estimated value of the magnet temperature is output.

A motor control method inputs one or more controlled variables or target values each representing a state of a motor to one or more node layers as an input value, and performs calculation in each of the one or more node layers to output one or more manipulated variables used for control of the motor and control the motor in accordance with the one or more manipulated variables. Each the one or more node layers has a plurality of nodes that execute calculations in parallel. Each of the plurality of nodes multiplies the input value by a coefficient specified for the corresponding node, and performs calculation using a function specified for the corresponding node and designating a multiplied value as an input variable to determine an output value.

A power conversion apparatus includes a main circuit unit, a control unit, a current sensor, and a half-wave rectifier unit. The control unit includes current frequency calculation units and monitoring units. The current frequency calculation units calculate current frequencies based on at least either the rising timing or falling timing of current detection signals half-wave rectified by the half-wave rectifier unit. The monitoring units monitor the speed of a motor based on the current frequencies calculated by the current frequency calculation units.

A motor monitoring system includes a motor unit, a plurality of sensors, and a motor controller. The motor unit includes a motor housing and a motor arranged within the motor housing. The motor includes a stator with a plurality of stator poles each having a corresponding phase coil. The plurality of sensors are arranged within the motor housing and are configured to: measure a first characteristic related to partial discharges that occur at one or more phase coils, and generate sensor data based on the measured first characteristic. The motor controller is configured to generate a plurality of pulse width modulation (PWM) control signals for controlling phase voltages of the motor, detect the partial discharges at at least one of the phase coils based on the sensor data, and adjust at least one PWM control signal of the plurality of PWM control signals based on the detected partial discharges.