Motor mechanical parameter identification method and system based on high-order sliding-mode observer

Abstract

The invention discloses a motor mechanical parameter identification method and system based on a high-order sliding-mode observer. The method comprises the following steps of operating a motor under two working conditions of the same acceleration and different rotating speeds, obtaining output signals of the high-order sliding-mode observer, and then calculating a friction coefficient estimation value; eliminating the influence of a friction coefficient error, obtaining output signals of the high-order sliding-mode observer when the motor is operated in two working conditions of different acceleration, and then calculating a torque inertia estimation value; and eliminating the influences of the friction coefficient error and a torque inertia error, obtaining an output signal of the high-order sliding-mode observer when the motor is operated in a working condition, and calculating a load torque estimation value. According to the method, the mechanical parameter identification is realized, the accuracy of a mechanical parameter identification result is improved, and the application value of the mechanical parameter identification is improved.

Description

technical field [0001] The invention belongs to the technical field of motors, and in particular relates to a method and system for identifying motor mechanical parameters based on a high-order sliding mode observer. Background technique [0002] In a high-performance servo control system, the mechanical parameters of the motor, including friction coefficient and moment of inertia, are crucial to system performance. However, in the servo system, the dynamic response speed of the servo motor control is reduced due to the change of the friction coefficient, the drastic change of the moment of inertia, and the sudden change of the load. Therefore, the identification of the mechanical parameters of the motor has become one of the main research directions in the field of servo control. For example, the permanent magnet synchronous motor has high precision, high efficiency, high speed, high reliability and excellent control performance, and is widely used in servo drive conditions...

AI Technical Summary

Problems solved by technology

However, the traditional low-order sliding mode observer has problems such as chattering phenomenon and slow response speed. Therefore, it is necessary to add a filter to the system to obtain more accurate identification results, but this will lead to delays and amplitudes of the identification results. Attenuation and other issues, which will reduce the accuracy of the identification results

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