Weight-coefficient-free double-virtual-voltage-vector predictive torque control method for five-phase permanent magnet synchronous motor

Abstract

The invention discloses a weight-coefficient-free double-virtual-voltage-vector predictive torque control method for a five-phase permanent magnet synchronous motor. The method comprises the steps: obtaining a current component under a two-phase static coordinate system and a voltage output at a moment k; carrying out delay compensation of a beat to obtain a current component under a two-phase static coordinate system at a k+1 moment; predicting a magnetic flux linkage and a torque at a k+1 moment; predicting a reference voltage vector required at a k+1 moment according to a magnetic flux linkage and torque dead-beat principle so as to select a first virtual voltage vector; and selecting a second virtual voltage vector according to a voltage error tracking principle, respectively calculating the action time of the two vectors, and synthesizing and outputting. On the basis that the original topological structure of the five-phase permanent magnet synchronous motor drive control system is not changed, harmonic waves in the five-phase motor are effectively restrained through the virtual voltage vectors, and the vectors are directly and quickly selected by adopting a dead-beat principle, so that the calculation burden of a traditional model prediction control method is greatly reduced.

Description

technical field [0001] The invention belongs to the technical field of multi-phase motor control, and in particular relates to a predictive torque control method for a five-phase permanent magnet synchronous motor. Background technique [0002] Five-phase permanent magnet synchronous motors have the advantages of high efficiency, high power density, wide speed range, low torque ripple and strong fault tolerance, and are widely used in aerospace, electric vehicles, ship propulsion systems and other fields. At the same time, the control methods for five-phase motors have also received extensive attention. Vector control and direct torque control are the two most common control methods. However, vector control has complex coordinate transformation and slow dynamic response speed, and direct torque control has poor static performance. Therefore, the research on model predictive torque control with simple control structure and fast dynamic response has practical significance. ...

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Problems solved by technology

The Chinese invention patent "A Predictive Torque Control Method for Permanent Magnet Synchronous Motor" (Patent No. CN201811592637.9) discloses a model predictive control method that uses error sorting to eliminate weight coefficients. However, this method still needs to calculate multiple errors. There is a problem of high computational burden

The Chinese invention patent "A Model Predictive Torque Control Method for Five-Phase Permanent Magnet Synchronous Motor" (Patent No. CN201710022345.0) discloses a model predictive control method that reduces the vector set to be selected, which reduces the computational burden, but due to This method has no means of suppressing torque and flux linkage pulsation, and has the problem of poor static performance

Therefore, most of the existing model predictive torque control methods have a large computational burden, and there are weight coefficients in the value function, and the static performance is also poor

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