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作者:

Song, Li (Song, Li.) | Yang, Xiuping (Yang, Xiuping.) | Hu, Hang (Hu, Hang.) | Peng, Guanya (Peng, Guanya.) | Wei, Wenxuan (Wei, Wenxuan.) | Dai, Yuguo (Dai, Yuguo.) | Feng, Lin (Feng, Lin.)

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摘要:

In view of the shortcomings of traditional gastroscopy and capsule robot in human stomach detection, a new 6-square coil electromagnetic control device for capsule robot attitude control was proposed in this paper. The device can not only generate uniform magnetic field in arbitrary direction and wide range of three-dimensional space to control the capsule to revolve, but also generate magnetic field with a certain gradient to provide propulsion for the capsule. Compared with the traditional electromagnetic device consisting of Helmholtz coil and Maxwell wire, it is easier to assemble, has higher coil utilization rate and more diverse driving signals. At the same time, it has a pair of movable coils, which can adjust the coil spacing according to the demand and produce different magnetic field configuration. Firstly, the appropriate device parameters were chosen by modeling and simulation, and illustrate the advantages of the system in generating magnetic field. After that, the feasibility of the device to control the capsule robot was proved by experiments such as fixedpoint three-dimensional rotation scanning and two-dimensional planar locomotion. The moving distance in plane point motion of the capsule robot can be adjusted by adjusting the signal type, amplitude and frequency of the driving coil, so as to improve the control accuracy reasonably. It can achieve a maximum accuracy of 1 mm in plane point motion, and the angle control accuracy in three-dimensional scanning motion can reach up to 10 degrees.

关键词:

Attitude control Capsule robot Electromagnetic control system

作者机构:

  • [ 1 ] [Song, Li]Beihang Univ, Beijing 100191, Peoples R China
  • [ 2 ] [Yang, Xiuping]Beihang Univ, Beijing 100191, Peoples R China
  • [ 3 ] [Peng, Guanya]Beihang Univ, Beijing 100191, Peoples R China
  • [ 4 ] [Wei, Wenxuan]Beihang Univ, Beijing 100191, Peoples R China
  • [ 5 ] [Dai, Yuguo]Beihang Univ, Beijing 100191, Peoples R China
  • [ 6 ] [Feng, Lin]Beihang Univ, Beijing 100191, Peoples R China
  • [ 7 ] [Feng, Lin]Beihang Univ, Beijing Adv Innovat Ctr Biomed Engn, Beijing 100083, Peoples R China
  • [ 8 ] [Hu, Hang]Beijing Univ Technol, Beijing 100124, Peoples R China

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来源 :

INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PART VI

ISSN: 0302-9743

年份: 2019

卷: 11745

页码: 202-212

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