A Predictive Flux Control Method for Permanent Magnet Synchronous Motors Considering Optimal Duty Cycle Modulation

Abstract

The invention discloses a method for predicting flux linkage control of permanent magnet synchronous motors considering optimal duty ratio modulation. The principle of minimizing the effective value of flux linkage vectors is introduced into the duty ratio calculation of basic voltage vectors, and combined with The voltage vector screening method can effectively suppress the torque and flux linkage ripple while reducing the calculation time of the processor, and improve the reliability and steady-state performance of the system. First, the torque increment is converted into the load angle increment, and the control target is unified into the stator flux vector; then, the basic voltage vector is screened according to the deadbeat idea, and the effective voltage can be quickly calculated on the premise of reducing the candidate vector The action time of the vector; and then calculate the duty cycle of the voltage vector through the principle of minimizing the effective value of the flux vector, and determine the selected voltage vector and vector duty cycle according to the comprehensive error of the flux vector, effectively suppressing the torque and magnetic flux. chain pulsation.

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] Finite state set model predictive control is a calculation based on the dynamic model of the system. 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 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 and approximating the ...

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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