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High-gain observer-based model predictive control for cross tracking of underactuated autonomous underwater vehicles

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper, a disturbance observer-based model predictive control system is developed for cross tracking of the underactuated autonomous underwater vehicle under uncertain current disturbances. A high-gain observer is used in the proposed controller to estimate the current velocity, external force and torque. Based on the disturbance estimates, a nonlinear model predictive controller is designed considering the input constraints. The control inputs are solved by optimizing the predicted trajectories of the system under input constraints within a certain time horizon. The simulation results are provided to verify the effectiveness of the proposed control algorithm.

Original languageEnglish
Title of host publicationUSYS 2016 - 2016 IEEE 6th International Conference on Underwater System Technology
Subtitle of host publicationTheory and Applications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-120
Number of pages6
ISBN (Electronic)9781509057986
DOIs
StatePublished - 6 Apr 2017
Event6th IEEE International Conference on Underwater System Technology: Theory and Applications, USYS 2016 - Pulau Pinang, Malaysia
Duration: 13 Dec 201614 Dec 2016

Publication series

NameUSYS 2016 - 2016 IEEE 6th International Conference on Underwater System Technology: Theory and Applications

Conference

Conference6th IEEE International Conference on Underwater System Technology: Theory and Applications, USYS 2016
Country/TerritoryMalaysia
CityPulau Pinang
Period13/12/1614/12/16

Keywords

  • High-gain observer
  • cross tracking
  • current disturbance
  • model predictive control

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