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Permanent magnet synchronous motor parameter on-line identification method based on model reference self-adaption

A permanent magnet synchronous motor, model reference technology, applied in the control of generators, motor control, motor generator control, etc., to achieve the effect of simple algorithm operation, improved accuracy and stability, and improved robustness

Inactive Publication Date: 2021-05-14
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
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Problems solved by technology

[0005] Aiming at the technical problems existing in the existing permanent magnet synchronous motor parameter identification method, the present invention provides a permanent magnet synchronous motor parameter online identification method, which is realized based on the combination of finite set-model predictive control method and model reference self-adaptation

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  • Permanent magnet synchronous motor parameter on-line identification method based on model reference self-adaption
  • Permanent magnet synchronous motor parameter on-line identification method based on model reference self-adaption
  • Permanent magnet synchronous motor parameter on-line identification method based on model reference self-adaption

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Embodiment Construction

[0049]The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0050] The method provided by the present invention mainly includes: the establishment of the mathematical model of the motor, the parameter decoupling of the prediction error and the online parameter identification based on the ultra-stability theory. The specific process is as follows: figure 1 shown.

[0051] The method includes the following steps:

[0052] Step 1, establishing a simplified mathematical model of the permanent magnet synchronous motor under the dq axis coordinate system;

[0053] Step 2. B...

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Abstract

The invention discloses a permanent magnet synchronous motor parameter on-line identification method based on model reference self-adaption. An identification model is established according to a discretized Popov hyperstability principle, when a motor runs, an identification result is continuously corrected according to collected data such as voltage, current and rotating speed, and more accurate motor parameters such as stator inductance and rotor permanent magnet flux linkage are obtained, so the operation condition of the motor is monitored in real time, and the accuracy and stability of motor control are improved. The influence caused by motor parameter change and space harmonic generation is effectively avoided, and the robustness of a motor driving system is improved.

Description

technical field [0001] The present application relates to an online identification method of parameters of a permanent magnet synchronous motor, in particular to a technology for realizing online identification of parameters of a permanent magnet synchronous motor based on the Popov superstability principle of model reference adaptive discretization. Background technique [0002] During the operation of the permanent magnet synchronous motor, its R s , L s 、ψ f The values ​​of parameters such as , etc. will change corresponding to different working states of the motor, so how to accurately identify these parameters is particularly important for system control. [0003] The existing permanent magnet synchronous motor parameter identification methods are mainly divided into two categories: offline identification and online identification. Among them, the parameter identification performed before the motor is running is called offline identification. Common off-line identif...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02P21/14H02P21/00H02P25/022
CPCH02P21/14H02P21/141H02P21/0003H02P25/022H02P2207/05
Inventor 张硕王岚冰谭平张承宁周莹
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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