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作者:

Jiao, Ran (Jiao, Ran.) | Rashad, Ramy (Rashad, Ramy.) | Bicego, Davide (Bicego, Davide.) | Chou, Wusheng (Chou, Wusheng.) | Stramigioli, Stefano (Stramigioli, Stefano.)

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SCIE

摘要:

Aerial physical interaction is a promising field for unmanned aerial vehicles in future applications. This paper presents a novel paradigm for automatic aerial contact-based sliding interaction (inspection/cleaning) tasks in aerial robotics allowing a 3D force with a constant norm to be applied on generic surfaces with unknown geometry. The interaction task is achieved by a fully-actuated hexarotor equipped with a rigidly attached end-effector under a passivity-based geometric impedance controller and a new sliding-mode extended state observer to estimate the interaction wrench. In order to increase the observer performance and reduce the estimation chattering phenomenon, the observer is innovatively incorporated with a super-twisting algorithm and a sigmoid function with a switching gain being adaptively updated by a fuzzy logic system. A detailed stability analysis for the observer is presented based on the Lyapunov stability theory. The proposed control approach is validated in several simulations in which we try to accomplish the aerial physical sliding interaction task with different types of objects under various sliding speeds.

关键词:

3D force Aerial physical interaction Sliding-mode observer Unmanned aerial vehicles

作者机构:

  • [ 1 ] [Jiao, Ran]Beijing Univ Technol, Fac Mat & Mfg, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Rashad, Ramy]Univ Twente, Robot & Mechatron Grp, Enschede, Netherlands
  • [ 3 ] [Bicego, Davide]Univ Twente, Robot & Mechatron Grp, Enschede, Netherlands
  • [ 4 ] [Chou, Wusheng]Beihang Univ, Sch Mech Engn & Automat, Beijing, Peoples R China
  • [ 5 ] [Chou, Wusheng]Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing, Peoples R China
  • [ 6 ] [Stramigioli, Stefano]Univ Twente, Robot & Mechatron Grp, St Petersburg, Russia
  • [ 7 ] [Stramigioli, Stefano]ITMO Univ, St Petersburg, Russia

通讯作者信息:

  • [Jiao, Ran]Beijing Univ Technol, Fac Mat & Mfg, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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来源 :

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS

ISSN: 0921-0296

年份: 2021

期: 4

卷: 102

3 . 3 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:9

被引次数:

WoS核心集被引频次: 5

SCOPUS被引频次: 6

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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