Bubble density gradient with laser detection : a wake-homing scheme for supercavitating vehicles
Song, Jia and Bian, Likun and Yang, Erfu and Su, Dongjing (2018) Bubble density gradient with laser detection : a wake-homing scheme for supercavitating vehicles. Advances in Mechanical Engineering, 10 (6). pp. 1-12. ISSN 1687-8140
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Abstract
The poor mobility and complex target motion estimation are the two main challenges in the anti-ship attack missions of high-speed guided missiles. In this study, a new wake-homing scheme of supercavitating vehicles is proposed using the gradient wake flow phenomenon. The basic principle of the wake-homing with laser detection and the information which can be obtained are studied. According to the idiosyncrasy of laser detection, the geometrical characteristics of the vessel wake, and the bubble distribution characteristics, the three-dimensional model of bubble density gradient in horizontal plane of the maneuvering target ship wake flow is first built; the guidance law based on the gradient wake flow is designed and tested. Then, simulation results show the validity of the model wake, the guidance law based on the wake gradient information can accurately track the target. From the simulation results, we also can see that the new wake-homing scheme effectively improve the hit probability, reduce the range of loss, reduce power consumption and gentle guidance trajectory, greatly reduce the mobility requirements of the supercavitating vehicle.
Creators(s): |
Song, Jia, Bian, Likun, Yang, Erfu ![]() | Item type: | Article |
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ID code: | 64669 |
Keywords: | self-guided laser, supercavitating vehicles, wake-homing, wake gradient model, three-dimensional model of bubble density gradient, Mechanical engineering and machinery, Control and Systems Engineering |
Subjects: | Technology > Mechanical engineering and machinery |
Department: | Faculty of Engineering > Design, Manufacture and Engineering Management |
Depositing user: | Pure Administrator |
Date deposited: | 04 Jul 2018 09:29 |
Last modified: | 06 Feb 2021 03:53 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/64669 |
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