Double-vector predicted flux linkage control method for permanent magnet synchronous motor

Abstract

The invention discloses a double-vector predicted flux linkage control method for a permanent magnet synchronous motor. The method comprises the steps of firstly converting a torque increment into a load angle increment and unifying control objectives as a stator flux linkage vector; calculating and obtaining a reference voltage vector according to a dead-beat idea, selecting a I vector through interval positions of the reference vector and selecting a II vector through subinterval positions of the reference vector; dividing a control period into two parts through optimizing a duty ratio of the voltage vector, making the I vector act on one part of the control period and selecting the II vector or a zero vector in the remaining time; and finally carrying out loop optimization calculation on the selected voltage vectors and the duty ratio to obtain an optimal voltage vector and conveying the optimal voltage vector to the permanent magnet synchronous motor. According to the double-vectorpredicted flux linkage control method for the permanent magnet synchronous motor, torque and flux linkage ripples of a system are reduced while the calculating time of a processor is shortened, and the reliability and the steady-state performance of the system are improved.

Description

technical field [0001] The invention relates to a flux linkage control method, in particular to a flux linkage control method with double vector prediction for a permanent magnet synchronous motor. Background technique [0002] With the rapid improvement of microprocessor processing performance, the model predictive control method has attracted extensive attention from experts and scholars. The traditional predictive torque control strategy uses electromagnetic torque and stator flux linkage as control variables to realize direct control of torque and flux linkage. However, since the torque and flux linkage are not in the same dimension, the value function needs to introduce weight coefficients to balance the effects of electromagnetic torque and stator flux linkage, which requires complicated weight coefficient debugging; the predictive flux linkage control strategy realizes the torque And the control of the flux linkage variable becomes the control of the stator flux linka...

AI Technical Summary

Problems solved by technology

However, since the predictive flux control strategy imposes a basic voltage vector in one control cycle, it cannot solve the problem of poor steady-state performance, so

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