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交变励磁三维遥测定位方法研究
引用本文:郭旭东,颜国正,何文辉.交变励磁三维遥测定位方法研究[J].西安交通大学学报,2007,41(6):717-721.
作者姓名:郭旭东  颜国正  何文辉
作者单位:上海交通大学电子信息与电气工程学院,200240,上海
基金项目:国家自然科学基金;高等学校博士学科点专项科研项目
摘    要:为了确定口服式生理参数检测胶囊进入人体消化道后的空间位置,提出了基于微粒群算法的交变励磁定位新方法.在人的体表布置2个圆柱状励磁线圈,通入时分正弦信号,同时在胶囊内封装3个相互正交的感应线圈.由定位模型建立以胶囊位置为变量的六元高次非线性方程组,运用改进的微粒群算法对其求解,由此实现胶囊位置的遥测.实验表明:磁定位方法正确可行,模型精度高,与传统算法相比,具有收敛速度快、精度高的优良性能.该方法不需要昂贵的大型专门设备,定位系统结构简单,能实现微型化和集成化,也可应用于其他非导磁环境中的位置遥测。

关 键 词:定位  遥测  励磁线圈  时分信号  感应线圈  微粒群算法
文章编号:0253-987X(2007)06-0717-05
修稿时间:2006-09-12

New Telemetric Three-Dimensional Positioning Method of Alternating Current Excitation
Guo Xudong,Yan GuoZheng,He Wenhui.New Telemetric Three-Dimensional Positioning Method of Alternating Current Excitation[J].Journal of Xi'an Jiaotong University,2007,41(6):717-721.
Authors:Guo Xudong  Yan GuoZheng  He Wenhui
Institution:School of Electronics and IMormation Technology, Shanghai Jiao Tong University, Shanghai 200240, China
Abstract:In order to determine the three-dimensional(3D) position of a detecting microcapsule in the gastrointestinal tract,a novel positioning method is presented based on alternating magnetic field and particle swarm optimization(PSO) algorithm.In telemetering two cylindrical energizing coils are located on the abdomen.Both coils are excited by time-sharing sinusoidal signal,and three induction coils whose axes are orthogonally mounted are sealed in the microcapsule.According to Biot-Savart law and Lenz law,a positioning model describing the relation between the induced electromotive force and the 3D position is derived.Then the position and orientation of the microcapsule are calculated via a nonlinear equation system by the improved PSO algorithm.The experiment shows that the positioning method is correct and the model has high precision.The PSO algorithm succeeds in solving high dimension problems,and its precision and performance are superior to conventional algorithms.The positioning method needs not special and expensive apparatus,and the miniaturization and integration can be easily realized.
Keywords:positioning  telemetric  energizing coil  timesharing signal  induction coils particle swarm optimization algorithm
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