Adaptive State Observer for Robot Manipulators Diagnostics and Health Degree Assessment

To avoid serious damages caused by the dynamic environment, fault detection and health assessment are essential for an integrated robotic system. In this paper, we propose a fault detection algorithm and a health degree assessment approach for a robot manipulator system. Both the internal disturbanc...

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Main Authors: Sanlei Dang, Zhengmin Kong, Long Peng, Yilin Ji, Yongwang Zhang
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/2/514
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author Sanlei Dang
Zhengmin Kong
Long Peng
Yilin Ji
Yongwang Zhang
author_facet Sanlei Dang
Zhengmin Kong
Long Peng
Yilin Ji
Yongwang Zhang
author_sort Sanlei Dang
collection DOAJ
description To avoid serious damages caused by the dynamic environment, fault detection and health assessment are essential for an integrated robotic system. In this paper, we propose a fault detection algorithm and a health degree assessment approach for a robot manipulator system. Both the internal disturbance and the output measurement disturbance are considered in the proposed method. In addition, an adaptive observer is utilized to reconstruct the real system of robot manipulators. Under the proposed observer, the real system is estimated to detect the fault and obtain the health degree of the robot manipulator. The feasibility and reliability of the proposed fault detection algorithm and health degree assessment index for robot manipulator systems are proved by simulation experiments.
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spelling doaj.art-c86ee392feeb4d91ae0f0d67be747b572022-12-22T01:05:39ZengMDPI AGApplied Sciences2076-34172020-01-0110251410.3390/app10020514app10020514Adaptive State Observer for Robot Manipulators Diagnostics and Health Degree AssessmentSanlei Dang0Zhengmin Kong1Long Peng2Yilin Ji3Yongwang Zhang4Metering Center of Guangdong Power Grid Co.Ltd., Guangzhou 510080, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaMetering Center of Guangdong Power Grid Co.Ltd., Guangzhou 510080, ChinaMetering Center of Guangdong Power Grid Co.Ltd., Guangzhou 510080, ChinaMetering Center of Guangdong Power Grid Co.Ltd., Guangzhou 510080, ChinaTo avoid serious damages caused by the dynamic environment, fault detection and health assessment are essential for an integrated robotic system. In this paper, we propose a fault detection algorithm and a health degree assessment approach for a robot manipulator system. Both the internal disturbance and the output measurement disturbance are considered in the proposed method. In addition, an adaptive observer is utilized to reconstruct the real system of robot manipulators. Under the proposed observer, the real system is estimated to detect the fault and obtain the health degree of the robot manipulator. The feasibility and reliability of the proposed fault detection algorithm and health degree assessment index for robot manipulator systems are proved by simulation experiments.https://www.mdpi.com/2076-3417/10/2/514fault diagnosticshealth degree assessmentrobot manipulator systemadaptive observerequipment maintenance and management
spellingShingle Sanlei Dang
Zhengmin Kong
Long Peng
Yilin Ji
Yongwang Zhang
Adaptive State Observer for Robot Manipulators Diagnostics and Health Degree Assessment
Applied Sciences
fault diagnostics
health degree assessment
robot manipulator system
adaptive observer
equipment maintenance and management
title Adaptive State Observer for Robot Manipulators Diagnostics and Health Degree Assessment
title_full Adaptive State Observer for Robot Manipulators Diagnostics and Health Degree Assessment
title_fullStr Adaptive State Observer for Robot Manipulators Diagnostics and Health Degree Assessment
title_full_unstemmed Adaptive State Observer for Robot Manipulators Diagnostics and Health Degree Assessment
title_short Adaptive State Observer for Robot Manipulators Diagnostics and Health Degree Assessment
title_sort adaptive state observer for robot manipulators diagnostics and health degree assessment
topic fault diagnostics
health degree assessment
robot manipulator system
adaptive observer
equipment maintenance and management
url https://www.mdpi.com/2076-3417/10/2/514
work_keys_str_mv AT sanleidang adaptivestateobserverforrobotmanipulatorsdiagnosticsandhealthdegreeassessment
AT zhengminkong adaptivestateobserverforrobotmanipulatorsdiagnosticsandhealthdegreeassessment
AT longpeng adaptivestateobserverforrobotmanipulatorsdiagnosticsandhealthdegreeassessment
AT yilinji adaptivestateobserverforrobotmanipulatorsdiagnosticsandhealthdegreeassessment
AT yongwangzhang adaptivestateobserverforrobotmanipulatorsdiagnosticsandhealthdegreeassessment