摘要
磁性目标形体复杂,磁化不均匀,目前一般采用逆方法拟合测量数据,从而建立其磁模型.文中以系数矩阵的条件数为目标函数,利用遗传算法搜索磁偶极子的位置,同时监测拟合误差,使得目标函数达到最优的同时,拟合误差也满足要求.实测数据的建模结果表明,用该方法建立的磁场模型精度高,对测量误差不敏感,具有很强的鲁棒性.
Some magnetic objects such as steel hull ships have complex geometry and so their magnetizations are usually unhomogeneous. In many cases, it is interesting to use measurements of the magnetic field created by a magnetic object in order to identify an equivalent magnetic model. This paper considers the condition number of the coefficient matrix as the object function and uses genetic algorithm to search the position of magnetic dipoles. At the same time, the fitness error between measurements and calculations is monitored so that when the object function reaches the optimum, the fitness error can meet the requirement. The magnetic model of a mock-up of ship is obtained using its measured data. The result shows that the magnetic model obtained by adopting the paper＇s method is high accurate and strong robust.
出处
《武汉理工大学学报（交通科学与工程版）》
2008年第6期1017-1020,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国防科研项目资助(批准号:51310040501)
关键词
磁场
磁模型
遗传算法
magnetic object
magnetic model
genetic algorithm
