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author:

Zhang, Zhenguo (Zhang, Zhenguo.) [1] | Chen, Yanjie (Chen, Yanjie.) [2] (Scholars:陈彦杰) | Wu, Yangning (Wu, Yangning.) [3] | Lin, Lixiong (Lin, Lixiong.) [4] | He, Bingwei (He, Bingwei.) [5] (Scholars:何炳蔚) | Miao, Zhiqiang (Miao, Zhiqiang.) [6] | Wang, Yaonan (Wang, Yaonan.) [7]

Indexed by:

EI Scopus SCIE

Abstract:

In this paper, considering the control difficulty of the unmanned aerial manipulator (UAM) interacting with environments, a force analysis during gliding grasping and a hybrid force/position control strategy are proposed for the UAM to enhance control performances during dynamic gliding grasping respectively. First, the instantaneous contact force during the gliding grasping is analyzed by the impulse and momentum theorem, and some factors affecting grasping performance are considered to complete an analysis of grasping force including the irregular shape of the object, the object scrolling, and geometrically asymmetric grasping. Meanwhile, the mass of the grasping object and the inertia tensor are considered unknown bounded items. As a benefit, an accurate dynamics model of the UAM gliding grasping is guaranteed. Second, a hybrid force/position controller based on an adaptive neural network estimator is adopted for UAM to overcome both internal disturbances and external disturbances. The proposed method stability is analyzed through the Lyapunov stability theory. Finally, through a dynamic gliding grasping simulation, the effectiveness and superiority of the proposed scheme are verified. (C) 2021 ISA. Published by Elsevier Ltd. All rights reserved.

Keyword:

Gliding grasping analysis Hybrid force/position control RBF neural network Uncertainty Unmanned aerial manipulator

Community:

  • [ 1 ] [Zhang, Zhenguo]Fuzhou Univ, Sch Mech Engn & Automat, Room 306,North Wulongjiang Rd 2, Fuzhou 350108, Peoples R China
  • [ 2 ] [Chen, Yanjie]Fuzhou Univ, Sch Mech Engn & Automat, Room 306,North Wulongjiang Rd 2, Fuzhou 350108, Peoples R China
  • [ 3 ] [Wu, Yangning]Fuzhou Univ, Sch Mech Engn & Automat, Room 306,North Wulongjiang Rd 2, Fuzhou 350108, Peoples R China
  • [ 4 ] [Lin, Lixiong]Fuzhou Univ, Sch Mech Engn & Automat, Room 306,North Wulongjiang Rd 2, Fuzhou 350108, Peoples R China
  • [ 5 ] [He, Bingwei]Fuzhou Univ, Sch Mech Engn & Automat, Room 306,North Wulongjiang Rd 2, Fuzhou 350108, Peoples R China
  • [ 6 ] [Miao, Zhiqiang]Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
  • [ 7 ] [Wang, Yaonan]Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
  • [ 8 ] [Chen, Yanjie]Natl Engn Lab Robot Visual Percept & Control Tech, Changsha 410082, Hunan, Peoples R China
  • [ 9 ] [Miao, Zhiqiang]Natl Engn Lab Robot Visual Percept & Control Tech, Changsha 410082, Hunan, Peoples R China
  • [ 10 ] [Wang, Yaonan]Natl Engn Lab Robot Visual Percept & Control Tech, Changsha 410082, Hunan, Peoples R China

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Source :

ISA TRANSACTIONS

ISSN: 0019-0578

Year: 2022

Volume: 126

Page: 377-387

7 . 3

JCR@2022

6 . 3 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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