Permanent magnet synchronous motor flux linkage prediction control method taking optimal duty ratio modulation into account

Abstract

The invention discloses a permanent magnet synchronous motor flux linkage prediction control method taking optimal duty ratio modulation into account, wherein a flux linkage vector effective value minimization principle is introduced into duty ratio calculation of a fundamental voltage vector, and in combination with a voltage vector filtering method, torque and flux linkage ripple can be restrained effectively while calculation time of a processor is reduced, and reliability and steady-state performance of a system are improved. Firstly, torque increment is converted into load angle increment, control targets are unified to be a stator flux linkage vector; then, fundamental voltage vector filtering is executed according to a dead-beat thought, and under the premise of reducing alternativevectors, working time of an effective voltage vector can be calculated quickly; thus, the duty ratio of the voltage vector can be calculated according to the flux linkage vector effective value minimization principle, the selected voltage vector and the vector duty ratio are determined according to combined error of the flux linkage vector, and torque and flux linkage ripple can be restrained effectively.

Description

technical field [0001] The invention relates to a motor predictive flux linkage control method, in particular to a permanent magnet synchronous motor predictive flux linkage control method considering optimal duty cycle modulation. Background technique [0002] The finite state set model predictive control is a kind of calculation based on the system dynamic model, and the value function can be designed according to different design requirements. Due to the advantages of simple concept, fast dynamic response, easy consideration of system constraints, and excellent multivariable control ability, it is nearly In recent years, it has attracted a large number of scholars at home and abroad to study its application in the field of electric drive. The traditional model predictive control objective function includes control variables of different dimensions for torque and flux linkage, which requires complicated weight coefficient adjustment; focusing on torque increment control an...

AI Technical Summary

Problems solved by technology

The traditional model predictive control objective function includes control variables of different dimensions for torque and flux linkage, which requires complicated weight coefficient adjustment; focusing on torque increment control and approximating the increment of stator flux linkage leads to large flux Chain control deviation; a voltage vector is applied in each control cycle, the torque and flux linkage ripple is large, and the stability performance is relatively poor

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