Robust global asymptotic position stabilization for uncertain underactuated surface vessels without velocity Measurement

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

Abstract

Global asymptotic stabilization problem of underactuated surface vessels has been so far considered not only by designing complicated nonlinear control law, but also by requiring the velocity feedback or the known model parameters. This paper proposes a simple robust proportional (P) position stabilization static control law for underactuated surface vessels with unknown model parameters, which takes a simple linear form excluding velocity feedback, observer and adaptive law. A novel nonnegative function is for the first time constructed, together with Lyapunov direct method and Barbalat's lemma, showing that the proposed control law guarantees the position error and velocity variables globally asymptotically convergent to zero. The effectiveness of the proposed control scheme is demonstrated by the simulation example.

Original languageEnglish
Title of host publicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4135-4140
Number of pages6
ISBN (Electronic)9781467397148
DOIs
StatePublished - 3 Aug 2016
Event28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
Duration: 28 May 201630 May 2016

Publication series

NameProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

Conference

Conference28th Chinese Control and Decision Conference, CCDC 2016
Country/TerritoryChina
CityYinchuan
Period28/05/1630/05/16

Keywords

  • Uncertain underactuated surface vessels
  • global asymptotic position stabilization
  • proportional feedback control
  • robust control

Fingerprint

Dive into the research topics of 'Robust global asymptotic position stabilization for uncertain underactuated surface vessels without velocity Measurement'. Together they form a unique fingerprint.

Cite this