Literature DB >> 31027228

Finite-Time Disturbance Observer for Robotic Manipulators.

Pengfei Cao1,2, Yahui Gan3,4, Xianzhong Dai5,6.   

Abstract

Robotic manipulators may be subject to different types of disturbances such as unknown payloads, unmodeled dynamics, and environment interaction forces. Observing these unknown disturbances in robotic manipulators is fundamental in many robotic applications such as disturbance rejection and sensorless force control. In this paper, a novel disturbance observer (DOB) is introduced based on the insights from the finite-time observer (FTO) and robot dynamics. Different from the traditional DOBs, this new observer can provide the capability to track the disturbance within a finite time. The performance of the presented observer is verified by two kinds of typical disturbances for a two-link manipulator with a comparison with several existing DOBs. The simulation results show the rapidity and accuracy of the proposed FTO.

Entities:  

Keywords:  disturbance observer; estimation; finite-time observer; human-robot interaction; robotic manipulator

Year:  2019        PMID: 31027228      PMCID: PMC6515099          DOI: 10.3390/s19081943

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  3 in total

1.  Robust Output Feedback Control of Single-Link Flexible-Joint Robot Manipulator with Matched Disturbances Using High Gain Observer.

Authors:  Hameed Ullah; Fahad Mumtaz Malik; Abid Raza; Naveed Mazhar; Rameez Khan; Anjum Saeed; Irfan Ahmad
Journal:  Sensors (Basel)       Date:  2021-05-08       Impact factor: 3.576

2.  A Mixed-Perception Approach for Safe Human-Robot Collaboration in Industrial Automation.

Authors:  Fatemeh Mohammadi Amin; Maryam Rezayati; Hans Wernher van de Venn; Hossein Karimpour
Journal:  Sensors (Basel)       Date:  2020-11-07       Impact factor: 3.576

3.  A Novel Active Fault-Tolerant Tracking Control for Robot Manipulators with Finite-Time Stability.

Authors:  Thanh Nguyen Truong; Anh Tuan Vo; Hee-Jun Kang; Mien Van
Journal:  Sensors (Basel)       Date:  2021-12-03       Impact factor: 3.576

  3 in total

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