An optimal nonlinear guidance logic for the trajectory tracking of supercavitating vehicles

Song, Jia and Gao, Ke and Yang, Erfu; (2017) An optimal nonlinear guidance logic for the trajectory tracking of supercavitating vehicles. In: 2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017). IEEE, JPN. (https://doi.org/10.1109/ICMA.2017.8015991)

[thumbnail of Song-etal-IEEE-ICMA-2017-An-optimal-nonlinear-guidance-logic-for-the-trajectory]
Preview
 Text. Filename: Song_etal_IEEE_ICMA_2017_An_optimal_nonlinear_guidance_logic_for_the_trajectory.pdf
Accepted Author Manuscript
Download (570kB)| Preview

Abstract

Supercavitating vehicles (SV) are a class of high-speed autonomous underwater vessels. They present a great challenge in designing the guidance law in comparison with the traditional autonomous underwater vehicles. This is due to the fact that their constraints and working environment are much more complex. To tackle the above challenge, an optimal nonlinear midcourse guidance logic is proposed by considering the wake terminal guidance and the remote target attack tasks. The proposed guidance logic is optimized by using an efficient genetic algorithm to obtain its optimal parameters. The results from our simulation case study suggest that the proposed guidance logic can meet both the motion requirements and navigation constraints while effectively cooperating with the wake terminal guidance. Moreover, it has potential in reducing the energy consumption to significantly improve the overall vehicle energy efficiency.

ORCID iDs

Song, Jia, Gao, Ke and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;
  • Item type:Book Section
    ID code:61175
    Dates:
    Date
    Event
    24 August 2017
    Published
    17 May 2017
    Accepted
    Notes:© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Depositing user: Pure Administrator
    Date deposited:29 Jun 2017 14:17
    Last modified:11 Nov 2024 15:10
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/61175
CORE (COnnecting REpositories)