CAJ | 학술논문

基于修正粒子群算法(MPSO)和修正的牛顿-拉夫逊(MNR)算法的优点和局限,提出 MPSO-MNR 算法,通过对研究的平面圆形求解域采用有限元法进行剖分,电流注入采用三角电流法的园域内单个、两个仿真目标采用该算法进行电阻抗断层静态重构.采用定义的适应值函数和误差总和作为评价重构质量的物理量.数值仿真结果表明,在一定迭代次数内,提出的 MPSO-MNR 算法对求解域内目标位置定位准确,能够较准确反映场域内电阻率的分布.
기우수정입자군산법(MPSO)화수정적우돈-랍부손(MNR)산법적우점화국한,제출 MPSO-MNR 산법,통과대연구적평면원형구해역채용유한원법진행부분,전류주입채용삼각전류법적완역내단개、량개방진목표채용해산법진행전조항단층정태중구.채용정의적괄응치함수화오차총화작위평개중구질량적물리량.수치방진결과표명,재일정질대차수내,제출적 MPSO-MNR 산법대구해역내목표위치정위준학,능구교준학반영장역내전조솔적분포.
This paper which is based on the advantages and limits of the Modified Particle Swarm Optimization(MPSO)algo-rithm and Modified Newton-Raphson(MNR)algorithm proposes the MPSO-MNR algorithm, and presents the numerical simula-tion of 2-D Electrical Impedance Tomography(EIT). In this paper, the MPSO-MNR algorithm is used to study the imaging of the EIT. The circle-domain solved is discretized into irregular polygons by the Finite Element Method(FEM). Trigonometric current pattern and the MPSO-MNR are adopted to reconstruct the impedance distribution, and the reconstruction results are evaluated by the fitness value function and the total error. The numerical simulation results show that the MPSO-MNR algorithm can locate the targets accurately and reflect the impedance distribution within certain iterations.