TY - JOUR
T1 - 一种平行接近的地磁梯度仿生导航方法
AU - Wang, Qiong
AU - Zhou, Jun
N1 - Publisher Copyright:
© 2018, Editorial Board of Journal of Northwestern Polytechnical University. All right reserved.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - Priori geomagnetic information is important to the geomagnetic navigation. However in practice, the precision of the geomagnetic information is a greatly constraint to the development of the geomagnetic navigation. In order to solve this problem, this paper present a geomagnetic gradient bionic navigation method based on parallel approach without any priori information. Inspired by the evidence that many creatures can navigate using the Earth magnetic field, the navigation process can be considered as a convergence of multi-objective problem, and develop the bionics navigation model. By introducing the parallel approach method to the navigation process, the heading angle can be estimated with the information of magnetic field gradient. The simulation results show the proposed method is able to navigation effectively without magnetic priori information, just rely on the actual geomagnetic measurement, which has implies potential application in the future.
AB - Priori geomagnetic information is important to the geomagnetic navigation. However in practice, the precision of the geomagnetic information is a greatly constraint to the development of the geomagnetic navigation. In order to solve this problem, this paper present a geomagnetic gradient bionic navigation method based on parallel approach without any priori information. Inspired by the evidence that many creatures can navigate using the Earth magnetic field, the navigation process can be considered as a convergence of multi-objective problem, and develop the bionics navigation model. By introducing the parallel approach method to the navigation process, the heading angle can be estimated with the information of magnetic field gradient. The simulation results show the proposed method is able to navigation effectively without magnetic priori information, just rely on the actual geomagnetic measurement, which has implies potential application in the future.
KW - Bionic navigation
KW - Constrained optimization
KW - Geomagnetic gradient
KW - Geomagnetic navigation
KW - Parallel approach method
UR - http://www.scopus.com/inward/record.url?scp=85055173784&partnerID=8YFLogxK
U2 - 10.1051/jnwpu/20183640611
DO - 10.1051/jnwpu/20183640611
M3 - 文章
AN - SCOPUS:85055173784
SN - 1000-2758
VL - 36
SP - 611
EP - 617
JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
IS - 4
ER -