Suppr超能文献

基于滑模观测器的非平稳非线性动态模型描述的机器人操纵器电动伺服执行器故障识别

Fault Identification in Electric Servo Actuators of Robot Manipulators Described by Nonstationary Nonlinear Dynamic Models Using Sliding Mode Observers.

作者信息

Zuev Alexander, Zhirabok Alexey N, Filaretov Vladimir, Protsenko Alexander

机构信息

Laboratory of Intelligent Information Systems for Marine Robots, Institute of Marine Technology Problems, 690091 Vladivostok, Russia.

Department of Automation and Robotics, Far Eastern Federal University, 690091 Vladivostok, Russia.

出版信息

Sensors (Basel). 2022 Jan 1;22(1):317. doi: 10.3390/s22010317.

Abstract

The problem of fault identification in electric servo actuators of robot manipulators described by nonstationary nonlinear dynamic models under disturbances is considered. To solve the problem, sliding mode observers are used. The suggested approach is based on the reduced order model of the original system having different sensitivity to faults and disturbances. This model is realized in canonical form that enables relaxing the limitation imposed on the original system. Theoretical results are illustrated by practical example.

摘要

考虑了在干扰下由非平稳非线性动态模型描述的机器人操纵器电动伺服执行器中的故障识别问题。为了解决该问题,采用了滑模观测器。所提出的方法基于对故障和干扰具有不同敏感性的原始系统的降阶模型。该模型以规范形式实现,从而能够放宽对原始系统施加的限制。通过实际例子说明了理论结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/552c/8749842/bbfc532b5b61/sensors-22-00317-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验