基于 HOSM 差分器的无刷直流电机负载转矩观测器

IF 2.1 3区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Machines Pub Date : 2023-12-01 DOI:10.3390/machines11121065

Axel Coronado-Andrade, Alejandra de la Guerra, Luis Alvarez-Icaza

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引用次数: 0

摘要

提出了一种梯形无刷直流电动机观测器，该观测器由降阶Luenberger观测器与高阶滑模(HOSM)微分器串级连接而成。在可变负载转矩及其k次导数有界的温和假设下，该配置可以估计角速度并重构负载转矩，这是控制该类电机的关键要素。采用Delfino F28379D微控制器，在基于德州仪器(TI)高压数字电机控制(HVMTR Kit)的实验试验台上对该观测器进行了测试。结果表明，尽管当前测量中存在噪声，但仍可以正确估计速度和负载转矩。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Load Torque Observer for BLDC Motors Based on a HOSM Differentiator

An observer is proposed for a trapezoidal brushless DC motor composed of a cascade connection of a reduced-order Luenberger observer and a high-order sliding mode (HOSM) differentiator. This configuration can estimate the angular velocity and reconstruct the load torque, key elements for the control of this type of motor, under the mild assumption that the variable load torque and its k-th time derivatives are bounded. The proposed observer was tested on an experimental test bench based on Texas Instruments (TI) High Voltage Digital Motor Control (HVMTR Kit) using a Delfino F28379D micro controller. The results show that the velocity and load torque can be properly estimated, despite the presence of noise in the current measurements.

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来源期刊

Machines Multiple-

CiteScore

3.00

自引率

26.90%

发文量

1012

审稿时长

11 weeks

期刊介绍： Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering. It publishes research articles, reviews, short communications and letters. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. Full experimental and/or methodical details must be provided. There are, in addition, unique features of this journal: *manuscripts regarding research proposals and research ideas will be particularly welcomed *electronic files or software regarding the full details of the calculation and experimental procedure - if unable to be published in a normal way - can be deposited as supplementary material Subject Areas: applications of automation, systems and control engineering, electronic engineering, mechanical engineering, computer engineering, mechatronics, robotics, industrial design, human-machine-interfaces, mechanical systems, machines and related components, machine vision, history of technology and industrial revolution, turbo machinery, machine diagnostics and prognostics (condition monitoring), machine design.