A variable reluctance motor load mapping apparatus includes a frame, an interface disposed on the frame configured for mounting a variable reluctance motor, a static load cell mounted to the frame and coupled to the variable reluctance motor, and a controller communicably coupled to the static load cell and the variable reluctance motor, the controller being configured to select at least one motor phase of the variable reluctance motor, energize the at least one motor phase, and receive motor operational data from at least the static load cell for mapping and generating an array of motor operational data look up tables.

A variable reluctance motor load mapping apparatus includes a frame, an interface disposed on the frame configured for mounting a variable reluctance motor, a static load cell mounted to the frame and coupled to the variable reluctance motor, and a controller communicably coupled to the static load cell and the variable reluctance motor, the controller being configured to select at least one motor phase of the variable reluctance motor, energize the at least one motor phase, and receive motor operational data from at least the static load cell for mapping and generating an array of motor operational data look up tables.

A method for estimating the position of a rotor of a synchronous electrical machine, includes a rotor and a stator coupled to an inverted synchronous electrical machine via a rectifier comprising the following steps: measurement of a current i.sub.abc circulating in the stator of the synchronous electrical machine; determination of two signals in quadrature i.sub.α; i.sub.β according to a stationary reference frame from the current i.sub.abc and isolation of two filtered signals i.sub.αh; i.sub.βh from the two signals in quadrature i.sub.α; i.sub.β; demodulation of the two filtered signals i.sub.αh; i.sub.βh in order to obtain two demodulated signals i.sub.αobs, i.sub.βobs, obtaining of an estimated position {circumflex over (θ)} of the rotor from the two demodulated signals i.sub.αobs, i.sub.βobs.

Complicated system fault diagnosis method and system based on a multi-stage model are provided. The method includes: establishing an integer-order mathematical model, a 0.1-level fractional order mathematical model, and a 0.01-level fractional order mathematical model of a permanent magnet synchronous motor system; designing an integer-order status observer based on the integer-order mathematical model, designing a 0.1-level fractional order status observer based on the 0.1-level fractional order mathematical model, and designing a 0.01-level fractional order status observer based on the 0.01-level fractional mathematical model; corresponding residual values can be obtained by the observers and compared with corresponding threshold values to judge whether there is a fault. The system includes first through third modules. Observers with different accuracy degrees are set up and the permanent magnet synchronous motor system is diagnosed through the observers. The fault diagnosis method and system are mainly used in motor diagnosis.

Disclosed is a motor control apparatus including an inverter part configured to convert DC power into AC power and provide the AC power to a motor, and a controller configured to control driving of the motor by using the inverter part, the controller configured to identify a stop position of a rotor in previous driving of the motor, and control the inverter part to apply an input signal of a specific pattern to the motor according to a start of driving the motor, wherein a phase of the input signal of the specific pattern is determined on the basis of the stop position of the rotor. Other example embodiments may be provided.

A motor drive monitors operation of a motor and adaptively track disturbances experienced by the motor. The motor drive receives a command signal and a cycle position signal. An estimated disturbance observed throughout a cycle of operation is stored in a look up table, and the motor drive uses the stored values as a feedforward value into a control module. The motor drive adaptively monitors operation of the motor and generates a new estimated disturbance value throughout each subsequent cycle of operation. The values of the estimated disturbance are updated within the look up table as a function of the new estimated disturbance values and of the previously stored values. The stored disturbance values adaptively track cyclic disturbances in the controlled machine or process and to reduce the effects of these cyclic disturbances on tracking error in the controlled machine or process.

A motor drive control device includes a drive circuit configured to drive a motor with a drive control signal for driving the motor, and a control circuit configured to perform a vector control arithmetic operation based on a detection result of drive currents of coils of the motor, to generate the drive control signal and supply the drive control signal to the drive circuit. When generating the drive control signal, the control circuit estimates a rotation angle of a rotor of the motor and a rotation speed of the rotor with a q-axis current value of a two-phase rotating coordinate system calculated with a detection result of the drive current, and a q-axis voltage command value of the two-phase rotating coordinate system, by using a linear Kalman filter including a prediction step and an update step, using a stationary Kalman filter with the prediction step expressed linearly and time-invariantly.

A motor drive control device includes a drive circuit configured to drive a motor with a drive control signal for driving the motor, and a control circuit configured to perform a vector control arithmetic operation based on a detection result of drive currents of coils of the motor, to generate the drive control signal and supply the drive control signal to the drive circuit. When generating the drive control signal, the control circuit estimates a rotation angle of a rotor of the motor and a rotation speed of the rotor with a q-axis current value of a two-phase rotating coordinate system calculated with a detection result of the drive current, and a q-axis voltage command value of the two-phase rotating coordinate system, by using a linear Kalman filter including a prediction step and an update step, using a stationary Kalman filter with the prediction step expressed linearly and time-invariantly.

To accurately predict a sensor value even in the case where external force is received. A control apparatus according to the present disclosure includes a prediction section that, in an actuator including a torque sensor that detects torque generated at a driving shaft, and an encoder that detects a rotational angle of the driving shaft, predicts a detection value of the encoder on a basis of a detection value of the torque sensor, or predict the detection value of the torque sensor on a basis of the detection value of the encoder, and a trouble determination section that compares a prediction value predicted by the prediction section with an actually measured value of the torque sensor or the encoder to perform trouble determination on the torque sensor or the encoder.

To accurately predict a sensor value even in the case where external force is received. A control apparatus according to the present disclosure includes a prediction section that, in an actuator including a torque sensor that detects torque generated at a driving shaft, and an encoder that detects a rotational angle of the driving shaft, predicts a detection value of the encoder on a basis of a detection value of the torque sensor, or predict the detection value of the torque sensor on a basis of the detection value of the encoder, and a trouble determination section that compares a prediction value predicted by the prediction section with an actually measured value of the torque sensor or the encoder to perform trouble determination on the torque sensor or the encoder.