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

Jia Song, Ke Gao, Erfu Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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.
LanguageEnglish
Title of host publication2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017)
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages7
DOIs
Publication statusPublished - 24 Aug 2017
Event2017 IEEE International Conference on Mechatronics and Automation - Hayashi-cho, Takamatsu, 761-0396, Takamatsu, Japan
Duration: 6 Aug 20179 Aug 2017
http://2017.ieee-icma.org/

Conference

Conference2017 IEEE International Conference on Mechatronics and Automation
Abbreviated titleICMA 2017
CountryJapan
CityTakamatsu
Period6/08/179/08/17
Internet address

Fingerprint

Trajectories
Autonomous underwater vehicles
Energy efficiency
Navigation
Energy utilization
Genetic algorithms

Keywords

  • supercavitating vehicles
  • nonlinear guidance logic
  • trajectory tracking
  • genetic algorithm
  • parameter optimisation

Cite this

Song, J., Gao, K., & Yang, E. (2017). An optimal nonlinear guidance logic for the trajectory tracking of supercavitating vehicles. In 2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017) Piscataway, NJ: IEEE. https://doi.org/10.1109/ICMA.2017.8015991
Song, Jia ; Gao, Ke ; Yang, Erfu. / An optimal nonlinear guidance logic for the trajectory tracking of supercavitating vehicles. 2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017). Piscataway, NJ : IEEE, 2017.
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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.",
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Song, J, Gao, K & Yang, E 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, Piscataway, NJ, 2017 IEEE International Conference on Mechatronics and Automation, Takamatsu, Japan, 6/08/17. https://doi.org/10.1109/ICMA.2017.8015991

An optimal nonlinear guidance logic for the trajectory tracking of supercavitating vehicles. / Song, Jia; Gao, Ke; Yang, Erfu.

2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017). Piscataway, NJ : IEEE, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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Song J, Gao K, Yang E. An optimal nonlinear guidance logic for the trajectory tracking of supercavitating vehicles. In 2017 IEEE International Conference on Mechatronics and Automation (ICMA 2017). Piscataway, NJ: IEEE. 2017 https://doi.org/10.1109/ICMA.2017.8015991