Direct torque control method for six-phase permanent magnet fault-tolerant motor based on torque model prediction

Abstract

The invention discloses a direct torque control method for a six-phase permanent magnet fault-tolerant motor based on model prediction torque control. The method comprises the steps of obtaining sampling information: obtaining a rotor position theta of a permanent magnet synchronous motor through a photoelectric encoder, obtaining a rotating speed signal of the motor through calculation, processing the deviation between the rotating speed of the motor and the given rotating speed into given torque through a PI regulator, and calculating the given flux linkage amplitude through the given torque, and simultaneously predicting the torque and flux linkage amplitude of the motor at the next moment in a model prediction algorithm. And the predicted values of the torque and the flux linkage and the given values of the predicted values form a value function, a space voltage vector enabling the value function to be minimum is selected, and the six-phase independent H-bridge inverter is controlled according to the space voltage vector so as to perform real-time torque prediction control on the motor.

Description

technical field [0001] The invention relates to the field of motor control, in particular to a method for direct torque control of a six-phase permanent magnet fault-tolerant motor based on torque model prediction. Background technique [0002] Permanent magnet synchronous motor is a high-performance motor with excitation provided by permanent magnets. It has become the main executive motor of AC servo control system due to its advantages of high efficiency and small torque ripple. The symmetrical surface-mounted six-phase permanent magnet fault-tolerant motor is a new type of motor developed on this basis. It uses six-phase symmetrical isolated windings and is driven by six H-bridge inverters. This structure makes it have excellent fault tolerance. Six H-bridge inverters theoretically have 3 6 =729 kinds of voltage vectors, but finally can be simplified to 62 kinds of space voltage vectors with different angles and amplitudes. For the control of this type of motor, curre...

AI Technical Summary

Problems solved by technology

The application of model predictive control in the control of surface-mounted six-phase permanent magnet fault-tolerant motors is still seldom, and most of them are current predictive control, which is still insufficient in the fast follow-up of torque and the suppression of torque ripple in fault state

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