A rotating machine control device drives a multi-phase rotating machine and a direct-current rotating machine. The control unit controls an operation of an inverter switching element and a direct current rotating machine switch in a drive circuit of the multi-phase rotating machine and the direct current rotating machine. The control unit has an anomaly detection unit for detecting an anomaly in the multi-phase power converter or the multi-phase rotating machine, or an anomaly in a direct current rotating machine switch or the direct current rotating machine. The control unit changes the switching operation of the inverter switching element and the direct current rotating machine switch according to the anomaly.

A motor driving device includes: a connection switcher that has an electromagnetic contactor connected to a winding of a motor and switches connection condition of the winding by switching condition of the electromagnetic contactor; an inverter to apply an output voltage as an AC voltage to the winding via the connection switcher; a short-circuiting circuit having a rectification circuit and a switch; and a controller to control the electromagnetic contactor, the inverter and the switch, wherein a circulating circuit is formed by the short-circuiting circuit and the winding when the switch is set at ON, and the connection switcher switches the connection condition of the winding in a period in which the output voltage of the inverter is set at zero in a rotating operation of the motor and a current caused by the rotating operation circulates in the circulating circuit.

Electrical power systems for distributing electrical power in aircraft are described. One such electrical power system comprises: an electrical power source configured to output a number R≥2 of dc power channels, each dc power channel having a respective index r=(1, . . . , R); and a group of N dc load channels connected to the R dc power channels by a switching arrangement, wherein N>R and each dc load channel has a respective index n=(1, . . . , N). The system further comprises, for each respective one of a plurality of the N load channels, a current limiting device (CLD) operable to limit an amount of current flowing from the power channels to a load connectable to the electrical power system via the respective load channel. The electrical power source may comprise one or more batteries.

A windshield wiper system (WWS) is provided. The WWS includes a brushless direct current (BLDC) motor, a wiper arm and blade, a gearbox/converter operably interposed between the BLDC motor and the wiper arm and blade and a smart motor drive configured to determine a WWS failure condition and to operate the BLDC motor according to the determination.

Systems and methods for extracting motor operational state parameters from an electric motor for improved motor control and motor fault or failure detection are discussed. An exemplary system includes an excitation circuit to apply a drive voltage to an electric motor, and a processor circuit to measure a resulting winding current, extract a current waveform by oversampling the winding current in an entire PWM frame at a sampling rate higher than the PWM frequency, and fit the current waveform in the PWM period to a parametric model. The processor circuit can determine a motor operational state parameter using one or more of the applied drive voltage or the parametric model of the winding current.

An ECU controls a motor including a first coil group and a second coil group. The ECU calculates a first torque command value and a second torque command value. The ECU uses a first differential torque, which is the difference between a first theoretical output torque and a first predictive output torque, to correct the second torque command value for the second coil group. The ECU uses a second differential torque, which is the difference between a second theoretical output torque and a second predictive output torque, to correct the first torque command value for the first coil group. The ECU uses a corrected first torque command value to control power feeding to the first coil group and uses a corrected second torque command value to control power feeding to the second coil group.

To provide a controller for AC rotary machine which can detect current of the normal phase certainly when the short circuit failure of one phase occurs, in an apparatus that a current sensor is connected in series to the positive electrode side switching device or the negative electrode side switching device of an inverter. A controller for AC rotary machine, when determining that the short circuit failure of any one phase occurred, calculates voltage command values of normal n−1 phases, and changes the voltage command values of the normal n−1 phases so that on period of the detection object device of each phase of the normal n−1 phases become longer than or equal to a length necessary for current detection at least at a current detection timing.

To provide a controller for AC rotary machine which can detect current of the normal phase certainly when the short circuit failure of one phase occurs, in an apparatus that a current sensor is connected in series to the positive electrode side switching device or the negative electrode side switching device of an inverter. A controller for AC rotary machine, when determining that the short circuit failure of any one phase occurred, calculates voltage command values of normal n−1 phases, and changes the voltage command values of the normal n−1 phases so that on period of the detection object device of each phase of the normal n−1 phases become longer than or equal to a length necessary for current detection at least at a current detection timing.

The disclosure discloses a motor driving system converter fault diagnosis method based on adaptive sparse filtering, and belongs to the field of driving system fault diagnosis. The disclosure applies an unsupervised learning algorithm to an application scene of converter fault diagnosis. Effective features are automatically extracted from original data, and the problem of manual feature design based on expert knowledge is solved. Meanwhile, in consideration of current fundamental period change caused by different rotation speed working conditions, rotation speed feedback is introduced, secondary sampling is carried out on current sampled at a constant frequency, it is ensured that the length of a signal input into the deep sparse filtering network is one fundamental wave period, redundant information is better removed from original data, the calculation burden is relieved, and the accuracy and rapidity of the diagnosis algorithm are improved to a certain extent.

The disclosure discloses a motor driving system converter fault diagnosis method based on adaptive sparse filtering, and belongs to the field of driving system fault diagnosis. The disclosure applies an unsupervised learning algorithm to an application scene of converter fault diagnosis. Effective features are automatically extracted from original data, and the problem of manual feature design based on expert knowledge is solved. Meanwhile, in consideration of current fundamental period change caused by different rotation speed working conditions, rotation speed feedback is introduced, secondary sampling is carried out on current sampled at a constant frequency, it is ensured that the length of a signal input into the deep sparse filtering network is one fundamental wave period, redundant information is better removed from original data, the calculation burden is relieved, and the accuracy and rapidity of the diagnosis algorithm are improved to a certain extent.