Double-vector model predictive current control method for six-phase permanent magnet fault-tolerant motor

Abstract

The invention discloses a double-vector model predictive current control method for a six-phase permanent magnet fault-tolerant motor, which comprises the following steps of: under a six-phase static coordinate system, independently carrying out two rounds of current prediction on each phase, controlling the motor by adopting two voltage vectors in each control period, and combining a current compensation fault-tolerant strategy. According to the method, the steady-state and dynamic performance of the motor during normal operation and the fault-tolerant performance of the motor under the condition of one-phase open-circuit fault are improved. Compared with traditional model predictive current control, the fault-tolerant control of the motor is more accurate, the control process is simplified, the calculated amount of the system is smaller, the torque and rotating speed waveform after the fault-tolerant control strategy is adopted is more excellent, when the motor breaks down, the rotating speed and torque ripple of the motor are almost the same as those in a fault-free state, and the fault-tolerant control method is suitable for large-scale popularization and application. And stable operation of the motor in case of a fault is ensured.

Description

technical field [0001] The invention relates to the technical field of motor control, in particular to a dual vector model predictive current control method for a six-phase permanent magnet fault-tolerant motor. Background technique [0002] The six-phase permanent magnet fault-tolerant motor is driven by an independent H-bridge inverter circuit, and its space voltage vector reaches as many as 729 kinds. In the traditional model predictive current control, the motor needs to be controlled in a two-phase rotating coordinate system. Since there are many voltage space vectors in the six-phase permanent magnet fault-tolerant motor control system, the control algorithm requires a large amount of calculation, which will affect the motor. dynamic performance. Using the single vector model predictive current control method, the output torque ripple is large. When the motor fails, although the effect of fault-tolerant control can be achieved, the operating state of the fault-tolera...

AI Technical Summary

Problems solved by technology

When the motor fails, although the effect of fault-tolerant control can be achieved, it is difficult for the operating state of the fault-tolerant motor to match the control effect before the fault.

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