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Multi-objective optimisation based on reliability analysis of a self-propelled capsule system

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Abstract

In order to promote the stability of a self-propelled capsule moving in digestive tract, the target moving speed, the minimal impact force and the minimal energy consumption are considered as the optimisation objectives simultaneously. The uncertainty of small intestine environment is described by varying the external friction coefficient of capsule. Under such circumstances, NSGA-II, Monte Carlo, and Six-Sigma algorithms are combined to conduct the multi-objective optimisation of both the control and structure parameters based on reliability analysis. Compared with the passive capsules which can only move in one direction relying on small intestine peristalsis, the bi-directional motion can be fulfilled by the self-propelled capsule via adjusting its optimisation parameters. According to the obtained optimisation result, the forward motion of the capsule can achieve a large scale of moving speeds; however, it is difficult for the capsule moving backward with high speed. The reliabilities of both the energy consumption and the impact force can reach 100% via reliability optimisations; however, the reliability of the target moving speed of capsule is hard to be promoted up to 90%. Both the optimisation method and the optimisation result introduced in the paper are expected to be benefit to the improvement of the self-propelled capsule system and its application in wireless endoscope.

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Data availability

The numerical data sets generated and analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

Dr. Maolin Liao would like to acknowledge the financial support from Beijing Municipal Natural Science Foundation (No. 3204049), and from Interdisciplinary Research Project for Young Teachers of USTB (Fundamental Research Funds for the Central Universities) (No. FRF-IDRY-19-006).

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Authors and Affiliations

  1. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Jiapeng Zhu, Maolin Liao, Yang Zheng, Shikun Qi, Zhi Li & Zijin Zeng

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  1. Jiapeng Zhu
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  2. Maolin Liao
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  3. Yang Zheng
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  4. Shikun Qi
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  5. Zhi Li
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Correspondence to Maolin Liao.

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Zhu, J., Liao, M., Zheng, Y. et al. Multi-objective optimisation based on reliability analysis of a self-propelled capsule system. Meccanica 58, 397–419 (2023). https://doi.org/10.1007/s11012-022-01519-3

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  • DOI: https://doi.org/10.1007/s11012-022-01519-3

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