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Journal of System Simulation

Abstract

Abstract: To realize an accurate releasing by a drug-delivery capsule in the gastrointestinal tract, a method of magnetic vector detection with angle sensing has been presented to track the capsule in real time; and a prototype of the tracking system has been developed. Based on the fundamentals of spatial distribution of magnetic vector fields, a nonlinear model of tracking is established. An improved artificial bee colony algorithm is studied to solve the magnetic inverse problem. In the improved algorithm, a chaos operator is used to generate an initial population and a sort selection is used to prevent premature convergence. To accelerate the convergence speed in the later stage, the Levenberg-Marquardt algorithm is combined with the artificial bee colony algorithm. The algorithm simulation experiment shows that the average number of iterations is 215. The average position error and standard deviation of x, y and z are 0.002 2 m±0.000 12 m, 0.001 9 m±0.000 084 m, and 0.002 0 m±0.000 078 m, respectively. The nonlinear optimization problem of tracking can be rapidly and accurately solved.

First Page

2288

Revised Date

2016-11-10

Last Page

2294

CLC

TH773;TP212.13

Recommended Citation

Guo Xudong, Lu Zhengping, Jiang Qinfen, Wang Shuyi, Cui Haipo. Algorithm for Tracking Position and Orientation of Drug Delivery Capsules in Gastrointestinal Tract[J]. Journal of System Simulation, 2018, 30(6): 2288-2294.

DOI

10.16182/j.issn1004731x.joss.201806036

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