Adaptive Fuzzy Backstepping-based Formation Control of Unmanned Surface Vehicles with Unknown Model Nonlinearity and Actuator Saturation

Weixiang Zhou, Yueying Wang, Choon Ki Ahn, Jun Cheng, Chaoyang Chen

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this paper, the formation control of unmanned surface vehicles (USVs) is addressed considering actuator saturation and unknown nonlinear items. The algorithm can be divided into two parts; one is steering the leader USV to trace along the desired path and the other is steering the follower USV to follow the leader in the desired formation. In the proposed formation control framework, a virtual USV is first constructed so that the leader USV can be guided to the desired path. To solve the input constraint problem, an auxiliary is introduced, and the adaptive fuzzy method is used to estimate the unknown nonlinear items in the USV. To keep the desired formation, the desired velocities of follower USVs are deduced by using geometry and Lyapunov stability theories. The stability of the closed-loop system is also proved. Finally, the effectiveness of the proposed approach is demonstrated by the simulation and experimental results.

Original languageEnglish
JournalIEEE Transactions on Vehicular Technology
DOIs
Publication statusAccepted/In press - 2020

Keywords

  • backstepping control
  • formation control
  • fuzzy logic system
  • input constraints
  • unknown model non-linearity
  • Unmanned surface vehicle

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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