Unilateral trajectory tracking control of autonomous underwater vehicles with system constraints

Haojiao Liang, Huiping Li, Jian Gao, Deming Xu

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

Abstract

The paper studies the trajectory tracking control problem of autonomous underwater vehicles (AUV) with practical constraints via economic model predictive control (EMPC) strategy. The cost function in EMPC is designed with two parts. One part is the trajectory tracking cost and the other part is the economic cost which is utilized to keep the AUV tracking within one side of the trajectory. We term this type of trajectory tracking as the unilateral trajectory tracking, which can be applied for hazardous area tracking and obstacle avoidance of AUVs. The effectiveness of the proposed approach is verified via thorough simulation studies.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages330-335
Number of pages6
ISBN (Electronic)9781538665312
DOIs
StatePublished - 15 Jun 2018
Event1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018 - Saint Petersburg, Russian Federation
Duration: 15 May 201818 May 2018

Publication series

NameProceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018

Conference

Conference1st IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2018
Country/TerritoryRussian Federation
CitySaint Petersburg
Period15/05/1818/05/18

Keywords

  • Autonomous underwater vehicle
  • Model predictive control
  • Trajectory tracking

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