Permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization
A permanent magnet synchronous motor, numerical optimization technology, applied in the control of generators, electrical digital data processing, motor generator control and other directions, can solve the problems of model inaccuracy and errors, and achieve the effect of avoiding model inaccuracy problems.
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[0030] The permanent magnet synchronous motor model modeling method based on data statistics and numerical optimization of the present invention comprises the following steps:
[0031] Step 1. Build the motor system test bench, which includes the upper computer and the motor electrical subsystem, such as figure 1 As shown, the electrical subsystem of the motor is composed of the d-axis current estimation model 1, the q-axis current estimation model 2 and the torque estimation model 3. The d-axis current estimation model 1 inputs the d-axis voltage, q-axis current and motor speed to obtain the d-axis Current; q-axis current estimation model 2 inputs d-axis current, q-axis voltage and motor speed to obtain q-axis current; torque estimation model 3 inputs d-axis current, q-axis current and motor speed to obtain motor output torque;
[0032] Step 2: In the d-axis current estimation model, set the motor speed as a global input, and set the d-axis voltage and q-axis current as local...
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