Robust control and fuzzy logic guidance for an unmanned surface vehicle

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This work deals with guidance and control of an unmanned surface vehicle which has the mission to monitor autonomously the water quality condition in Peruvian sea onshore. The vehicle is a catamaran class with two slender bodies propelled by two electric thrusts in differential and common modes in order to maneuver in surge and in yaw directions. A multivariable control approach is proposed in order to control these two variables and a fuzzy logic-based guidance tracks predefined trajectories at the sea surface. The conjunction between robust control and guidance algorithms is validated numerically and the results show good stability and performance despite the presence of disturbance, noise sensors and model uncertainties.

Original languageEnglish
Pages (from-to)766-772
Number of pages7
JournalInternational Journal of Advanced Computer Science and Applications
Issue number8
StatePublished - 2020

Bibliographical note

Funding Information:
The authors thank the Universidad Nacional de San Agust in de Arequipa for the financial support given to this research, since 2019 and under grant number IBAIB-08-2018-UNSA.

Publisher Copyright:
© 2020, Science and Information Organization.


  • Fuzzy
  • Guidance
  • Robust control
  • Unmanned surface vehicle


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