A model predictive torque control method for surface-mounted permanent magnet synchronous motors

Abstract

The invention discloses a surface-mounted permanent magnet synchronous motor model predictive torque control method. In the real-time control process of the surface-mounted permanent magnet synchronous motor, the dynamic response time required for the actual electromagnetic torque to keep up with the torque reference value set by the front-end controller is obtained by predictive calculation; the front-end controller is judged according to the dynamic response time Whether there is a difference between the set torque reference value and the actual electromagnetic torque of the motor, and then control according to the result of the difference. The optimal space voltage vector acts on the motor, making the electromagnetic torque of the motor catch up with the torque reference value in the shortest time. The present invention optimizes and designs the entire torque dynamic response process of the surface-mounted permanent magnet synchronous motor, optimizes the torque response performance of the motor, and has a smaller calculation amount and higher applicability.

Description

Technical field [0001] The present invention relates to a motor predicted torque control method in the field of high performance control of the table, and is proposed, in particular, a table prediction torque control method is predicted. Background technique [0002] The motor's torque control dynamic performance is one of the important factors for measuring the overall performance of the servo system. High-performance torque control is usually achieved in conjunction with modern control methods in a magnetic field orientation control or direct torque control principle. Model prediction torque control has excellent performance, simple principles, and is widely used in permanent magnet synchronous motor control. Current research model predictive torque control has focused on reducing torque rips, reducing prediction calculations, and relatively small research on improving control dynamic performance. [0003] At the same time, due to the dynamic process of the motor, the tradition...

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Problems solved by technology

At present, most of the literature on model predictive torque control focuses on reducing torque ripple and reducing the amount of prediction calculations, but there are relatively few studies on improving control dynamic performance.

[0003] At the same time, since the dynamic process of the motor may last for multiple control cycles, the traditional single-step model predictive torque control can only optimize and improve the dynamic response performance within one control cycle, and the improvement of the overall response performance is relatively limited, while the multi-step model The predictive domain of predictive torque control is also affected by the computing performance of the system, which lacks the ability to optimize the entire dynamic response process to achieve the optimum

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