The invention discloses a
permanent magnet synchronous motor wide speed range
model prediction control method and
system based on a mean value reduction optimization
algorithm, and belongs to the technical field of
motor control. According to the method, a discrete
mathematical model of the
permanent magnet synchronous motor is established under a d-q rotating coordinate
system, a q-axis current reference value is generated by an outer ring through a speed
PI regulator, and a d-axis current reference value is calculated in combination with a
maximum torque per
ampere (MTPA) principle and a weak magnetic region
voltage constraint;
finite control set model prediction control is adopted in an inner ring, enumeration prediction is conducted on candidate
voltage vectors of the three-phase
voltage source type inverter, a cost function containing a d-axis current error, a q-axis current error and an
electromagnetic torque error is constructed, an optimal
voltage vector is selected, and a three-phase PWM
signal is generated through
space vector pulse width modulation to drive a motor. The
system is provided with a mean value reduction optimization module, joint optimization is carried out on speed outer ring PI parameters and cost function weight coefficients in the off-line stage, the parameters are stored in a
lookup table, and automatic setting of
control parameters is achieved. The
permanent magnet synchronous motor can improve the dynamic response performance of the rotating speed and the current in the base speed area and the weak magnetic area, reduce the
total harmonic distortion of the
stator current, improve the voltage
utilization rate and the overall operation efficiency of the permanent
magnet synchronous motor, and is suitable for occasions such as
electric vehicle driving and high-performance
servo systems.