基于免疫克隆算法的一阶磁梯度张量定位方法  

A First-Order Magnetic Gradient Tensor Localization Method Based on the Immunocloning Algorithm

作　　者：向枫桦 杨宾锋[1] 李博[1] 赵震 郭娇娇 XIANG Fenghua;YANG Binfeng;LI Bo;ZHAO Zhen;GUO Jiaojiao(Information Engineering and Navigation School,Air Force Engineering University,Xi’an 710077,China)

机构地区：[1]空军工程大学信息与导航学院,西安710077

出　　处：《空军工程大学学报（自然科学版）》2022年第3期53-59,81,共8页Journal of Air Force Engineering University(Natural Science Edition)

基　　金：国家自然科学基金(51577191)。

摘　　要：针对梯度张量法在磁定位系统中存在进场误差大的不足,提出了基于免疫克隆算法的一阶磁梯度张量定位方法。首先,利用十字形传感器模型,推导了一阶磁梯度张量定位原理。然后,根据磁场衰减规律,提出了误差梯度矩阵的计算方法并利用免疫克隆算法进行优化处理。为了验证新算法的有效性,在Matlab中采用了3条不同的路线分别进行一阶梯度张量定位和优化算法定位计算并通过实际定位实验对新定位算法进行验证。研究发现:基于免疫克隆算法的一阶磁梯度张量定位方法在距离较近时,能够有效提高磁定位系统的精度。For lack of gradient tensor large field error in magnetic localization system,a first-order magnetic gradient tensor localization method is proposed based on immune cloning algorithm.First,the cross-form sensor model is utilized for deriving the first-order magnetic gradient tensor localization principle.Then,an error gradient matrix calculating method is proposed by using the magnetic field decay law and the immune cloning algorithm is optimized.To verify the effectiveness of the new algorithm,three different routes are used in Matlab for one-step metric tensor localization and optimization algorithm localization calculation and to verify the new localization algorithm through actual localization experiments.It is found that the first-order magnetic gradient tensor localization method based on the immune cloning algorithm can effectively improve the accuracy of the magnetic positioning system.

关 键 词：免疫克隆算法 磁梯度张量 误差矩阵 磁定位 

分 类 号：V249.32[航空宇航科学与技术—飞行器设计]