Bio-inspired geomagnetic navigation method for autonomous underwater vehicle  

作　　者：Hong Li Mingyong Liu Kun Liu 

机构地区：[1]School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China

出　　处：《Journal of Systems Engineering and Electronics》2017年第6期1203-1209,共7页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(51379176;51179156)

摘　　要：This paper presents a bio-inspired geomagnetic navigation method for autonomous underwater vehicle(AUV) without using any a priori geomagnetic information. Firstly, the multi-objective search problem is raised. Secondly, the geomagnetic navigation model is established by constructing a cost function. Then, by taking into consideration the biological magneto-taxis movement behavior for the geomagnetic environment stimulus, the multiobjective evolutionary search algorithm is derived to describe the search process. Finally, compared to the state-of-the-art, the proposed method presents better robustness. The simulation results demonstrate the reliability and feasibility of the proposed method.This paper presents a bio-inspired geomagnetic navigation method for autonomous underwater vehicle(AUV) without using any a priori geomagnetic information. Firstly, the multi-objective search problem is raised. Secondly, the geomagnetic navigation model is established by constructing a cost function. Then, by taking into consideration the biological magneto-taxis movement behavior for the geomagnetic environment stimulus, the multiobjective evolutionary search algorithm is derived to describe the search process. Finally, compared to the state-of-the-art, the proposed method presents better robustness. The simulation results demonstrate the reliability and feasibility of the proposed method.

关 键 词：autonomous underwater vehicle(AUV) geomagnetic navigation bio-inspired navigation hex-path algorithm evolution ary algorithm 

分 类 号：U666.1[交通运输工程—船舶及航道工程]