A Speed ​​Tracking Control Method for Permanent Magnet Linear Synchronous Motor

Abstract

The invention discloses a speed tracking control method of a permanent magnet linear synchronous motor, comprising the following steps: S100, constructing a dq coordinate system permanent magnet linear synchronous motor model; S200, converting the dq coordinate system permanent magnet linear synchronous motor model into a speed loop, Three subsystems of q-axis current loop and d-axis current loop; S300, design and improve the extended state observer using speed loop, q-axis current loop, and d-axis current loop; S400, design speed tracking control based on the above-mentioned improved extended state observer device, current loop controller, and according to the speed tracking error feedback, the speed tracking control is realized. The present invention takes the permanent magnet linear synchronous motor as the control object, designs a new improved extended state controller, and designs a feedback controller based on the extended state observer, and ensures its convergence by selecting appropriate observer and controller parameters And stability, to achieve the desired control performance, to achieve speed tracking control.

Description

technical field [0001] The invention belongs to the technical field of motor servo and control, and in particular relates to a speed tracking control method of a permanent magnet linear synchronous motor. Background technique [0002] Linear motor systems usually require precise control of the system speed, so higher requirements are placed on the acquisition of speed signals and speed control. On the one hand, certain accuracy must be ensured, and higher requirements are also placed on real-time performance. Velocity is the differential signal of distance, which reflects the dynamic characteristics of the system. Generally, the differential signal of the system is difficult to measure directly. The differential signal obtained by the classical differentiator amplifies the system noise at the same time, combined with the function of the filter, but the filter has limited ability to suppress noise and will lose Signal phase information, so the control based on the differentia...

AI Technical Summary

Problems solved by technology

However, there are relatively few theoretical studies on extended state observers and active disturbance rejection control

In particular, the rigorous analysis and proof of the convergence of the extended state observer and the stability of the ADRC, and the influence of parameters on the convergence of the extended state observer and the stability of the ADRC are rarely involved.

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