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.
No takes yet. Share an insight, caveat, or question.
Li et al. (2017) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: