1. Research of Bio-Inspired Geomagnetic Navigation for AUV Based on Evolutionary Gradient Search
- Author
-
Mingyong Liu, Niu Yun, Mengfan Wang, Jiaojiao Guo, and Kun Liu
- Subjects
Computer science ,General Engineering ,TL1-4050 ,Function (mathematics) ,geomagnetism, geomagnetic navigation ,Physics::Geophysics ,Computer Science::Robotics ,evolutionary gradient search ,Earth's magnetic field ,Search algorithm ,Convergence (routing) ,Physics::Space Physics ,evolutionary strategies ,bio-inspired navigation ,Evolution strategy ,Algorithm ,Global optimization ,Motor vehicles. Aeronautics. Astronautics - Abstract
At present, bio-inspired geomagnetic navigation is mostly based on evolutionary strategy, which requires long navigation time and low efficiency. To solve this problem, a bio-inspired geomagnetic navigation method for AUV based on evolutionary gradient search is proposed. Combining the bionic evolutionary search algorithm with the classical gradient algorithm to search the function extremum can not only ensure the global optimization of the search, but also have fast convergence, which can improve the efficiency of bio-inspired geomagnetic navigation. The simulation results show that this method does not need prior geomagnetic information and can complete navigation tasks according to the geomagnetic trend. Comparing with the evolutionary search strategy, the effectiveness and superiority of the evolutionary gradient search strategy are verified.
- Published
- 2019