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出 处:《武汉理工大学学报》2013年第9期67-71,共5页Journal of Wuhan University of Technology
基 金:国家自然科学基金(51109215)
摘 要:建立磁性舰船的磁偶极子阵列和椭球体混合模型时,磁偶极子的位置分布及其磁矩会对模型的稳定性和精度产生影响。在分析模型系数矩阵条件数对模型稳定性的影响并建立了条件数的优化目标函数基础上,提出了使用动态改变惯性权重的弹性粒子群优化算法优化该目标函数并得到偶极子的最佳分布位置。通过逐步回归方法优化了磁偶极子的磁矩参数以提高模型精度。最后使用磁性舰船模型的磁场测量数据进行建模和换算,换算和统计结果表明:经过优化后的模型提高了原有模型的精度和稳定性。There are some shortcomings of the traditional methods of modeling magnetic ship, such as being unstable without dipole's positions optimized or rough precision caused by ignoring the effects of the redundancy moments. Based on analyzing the effect of model's stability by the condition number of matrix and establishing the function for condition number optimization, A resilient particle swarm optimization algorithm and improved step-regress method(ARPSO) was proposed to optimize the position of the magnetic dipole. Step recursion method was used to eliminate the unwanted mag-netic moment to arise the model's precision. Experiment using data collected from ship mode was applied to evaluate the model set by this paper. The results show that the magnetic field model obtained by this paper has better performance on stable and accuracy than the traditional method.
关 键 词:磁性舰船 动态改变惯性权重的弹性粒子群算法 逐步回归 矩阵条件数
分 类 号:P361[天文地球—地球物理学]
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