Multi-objective optimization of a self-propelled capsule for small bowel endoscopy considering the influence of intestinal environment

This work studies the control optimization of a self-propelled capsule moving in the small intestinal environment for endoscopic diagnosis. For this purpose, we combine an existing capsule model with the intestinal peristalsis and its internal environment in order to gain a better understanding of d...

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Bibliographic Details
Published in:Nonlinear dynamics 2023-09, Vol.111 (18), p.16963-16989
Main Authors: Jiapeng, Zhu, Maolin, Liao, Chávez, Joseph Páez, Yang, Liu, Tingrui, Li
Format: Article
Language:English
Subjects:
Algorithms
Automotive Engineering
Classical Mechanics
Control
Dynamical Systems
Energy consumption
Engineering
Impact loads
Intestine
Mathematical models
Mechanical Engineering
Multiple objective analysis
Optimization
Original Paper
Small intestine
Structural models
Vibration
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Summary:This work studies the control optimization of a self-propelled capsule moving in the small intestinal environment for endoscopic diagnosis. For this purpose, we combine an existing capsule model with the intestinal peristalsis and its internal environment in order to gain a better understanding of dynamics of the self-propelled capsule. For the optimization study, a number of different realistic targets are considered, including the capsule’s average progression speed, the impact force acting on the small intestine and the capsule’s energy consumption. In addition, the uncertainty of the small intestine environment is taking into account by varying its internal radius. In this setting, we develop a multi-objective optimization strategy based on NSGA-II, Monte Carlo, and Six-Sigma algorithms considering both the control and structural model parameters, such as excitation frequency and impact stiffness. The effectiveness of the proposed optimization strategy is demonstrated via extensive numerical simulations with the consideration of a wide range of realistic scenarios.
ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-023-08792-1