• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2023, Vol. 59 ›› Issue (23): 87-95.doi: 10.3901/JME.2023.23.087

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Sliding and Rolling Mechanism of a Dual Hemisphere Capsule Robot

ZHANG Yongshun, XING Lijun, DONG Hai, MA Yulin   

  1. State Key Laboratory of High-performance Precision Manufacturing, Dalian University of Technology, Dalian 116024
  • Received:2022-12-22 Revised:2023-06-05 Published:2024-02-20

Abstract: In order to realize the precise transposition control of the double hemisphere capsule robot(DHCR), the DHCR must have the function of slow transposition. However, the DHCR, which moves slowly at small rotational speed in a non-fluid environment, is likely to be interfered by scraggy surface of the gastrointestinal tract, thus precise transposition control of the DHCR can't be achieved due to some problems such as unstable posture of the DHCR. Therefore, a sliding and rolling drive strategy of the DHCR in the fluid environment is proposed, in which, the DHCR is idling at high speed to achieve stable attitude control, and the sliding motion is used to realize the slow and precise transposition of the capsule. Based on the low Reynolds number fluid theory and the elastohydrodynamic lubrication theory, the fluid force and torque against the DHCR when it is sliding on the surface of the stomach wall were calculated, and the sliding driving dynamics model is established. The characteristics of its transposition speed were analyzed. The simulation and experimental results show that it is feasible to realize the slow transposition function of the DHCR by using the sliding-roll driving strategy in the low Reynolds number fluid environment. The transposition speed can be precisely controlled by changing the control parameters, and the transposition accuracy of the DHCR is significantly improved. This research provides a theoretical basis for improving the dynamic performance of capsule by aid of fluid environment.

Key words: capsule robot, low Reynolds number, sliding-rolling motion, dynamic performance

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