A fuzzy finite-time optimal synchronization control method for a fractional-order permanent magnet synchronous generator, and belongs to the technical field of generators. A synchronization model between fractional-order driving and driven permanent magnet synchronous generators with capacitance-resistance coupling is established. The dynamic analysis fully reveals that the system has rich dynamic behaviors including chaotic oscillation, and a numerical method provides stability and instability boundaries. Then, under the framework of a fractional-order backstepping control theory, a fuzzy finite-time optimal synchronous control scheme which integrates a hierarchical type-2 fuzzy neural network, a finite-time command filter and a finite-time prescribed performance function is provided.

A motor control device includes: a second setting unit configured to set an armature current command value and a current phase angle command value based on a rotation speed and a motor torque command value; and a current vector setting unit configured to set a d-axis current command value and a q-axis current command value based on the armature current command value and the current phase angle command value. The second setting unit is configured to set the armature current command value and the current phase angle command value such that an armature current vector which is set based on the d-axis current command value and the q-axis current command value is included in an area surrounded by an armature current vector locus in maximum torque/current control and a vertical axis in a d-q coordinate system.

A motor control device includes: a second setting unit configured to set an armature current command value and a current phase angle command value based on a rotation speed and a motor torque command value; and a current vector setting unit configured to set a d-axis current command value and a q-axis current command value based on the armature current command value and the current phase angle command value. The second setting unit is configured to set the armature current command value and the current phase angle command value such that an armature current vector which is set based on the d-axis current command value and the q-axis current command value is included in an area surrounded by an armature current vector locus in maximum torque/current control and a vertical axis in a d-q coordinate system.

A PMSM demagnetization fault diagnosis method based on fuzzy intelligent learning of torque signals, which includes the following steps of: acquiring torque ripple signals of permanent magnet synchronous motors under different demagnetization faults; calculating a fuzzy membership of the torque ripple signals; decomposing and reconstructing the torque ripple signals by using wavelet packet decomposition to obtain wavelet packet coefficients; calculating the energy of the wavelet packet coefficients, constructing a feature vector sample set with the fuzzy membership, and dividing it into a training set and a test set; constructing Fuzzy Extreme Learning Machine (FELM), and inputting the training set into the FELM for training; inputting the test set into the trained FELM, and calculating classification accuracy. The disclosure solves the problem of unbalanced and irregular training sample distribution by integrating fuzzy theory into the Extreme Learning Machine to fuzzify the torque ripple signal samples under demagnetization fault.

A method of controlling an electric vehicle, wherein the electric vehicle comprises an electric motor, a controller, and an inverter, wherein the controller receives a control signal with an instruction to operate the electric motor. In one embodiment, the method includes collecting an operational data set on a plurality of output signals of the inverter and a rotation angle of the electric motor. In one embodiment, the method includes computing a voltage change of the inverter and a magnetic flux of the electric motor based on a predetermined data set and the operational data set. In one embodiment, the method includes adjusting an output of the inverter to offset the voltage change and the magnetic flux, the output being provided to the electric motor to control the electric motor in accordance with the instruction.

A motor driven power steering apparatus includes a steering logic unit for generating a current command to operate a drive motor according to a driving condition of a vehicle, a motor speed sensor for sensing a rotation condition of the drive motor to output a motor speed, a motor control unit for receiving the current command and the motor speed from the steering logic unit and the motor speed sensor, respectively, and calculating an output voltage from a voltage table according to current-speed based on the current command and the motor speed to output a voltage command to operate the drive motor, a coordinate conversion unit for converting the two-phase voltage command outputted from the motor control unit into a three-phase voltage, and a motor driving unit for outputting the three-phase voltage converted from the coordinate conversion unit to the drive motor as a PWM voltage.

A method of controlling an electric vehicle, wherein the electric vehicle comprises an electric motor, a controller, and an inverter, wherein the controller receives a control signal with an instruction to operate the electric motor. In one embodiment, the method includes collecting an operational data set on a plurality of output signals of the inverter and a rotation angle of the electric motor. In one embodiment, the method includes computing a voltage change of the inverter and a magnetic flux of the electric motor based on a predetermined data set and the operational data set. In one embodiment, the method includes adjusting an output of the inverter to offset the voltage change and the magnetic flux, the output being provided to the electric motor to control the electric motor in accordance with the instruction.

A method of controlling an interior permanent magnet (IPM) motor includes receiving a motor torque command, and selecting a nominal d-axis current and a nominal q-axis current stored in a first lookup table. The nominal d-axis current and the nominal q-axis current correspond with a predetermined efficiency of the IPM motor at a nominal temperature and are based on at least the motor torque command and magnetic flux at a nominal temperature of the IPM motor. A d-axis adjustment current and a q-axis adjustment current are then selected from a stored second lookup table. The adjustment currents correspond with the predetermined efficiency of the IPM motor and are based at least on the magnetic flux and an operating temperature of the IPM motor. A corrected d-axis current and a corrected q-axis current are commanded. The corrected currents are the sum of the respective nominal current and adjustment current.

A motor driven power steering apparatus includes a steering logic unit for generating a current command to operate a drive motor according to a driving condition of a vehicle, a motor speed sensor for sensing a rotation condition of the drive motor to output a motor speed, a motor control unit for receiving the current command and the motor speed from the steering logic unit and the motor speed sensor, respectively, and calculating an output voltage from a voltage table according to current-speed based on the current command and the motor speed to output a voltage command to operate the drive motor, a coordinate conversion unit for converting the two-phase voltage command outputted from the motor control unit into a three-phase voltage, and a motor driving unit for outputting the three-phase voltage converted from the coordinate conversion unit to the drive motor as a PWM voltage.

A method of realizing single direction chaotic rotation speed of permanent magnet synchronous motor is provided powered by a three-phase full-bridge inverter.