Litcius/Paper detail

Finite-Time Output Feedback Cooperative Formation Control for Marine Surface Vessels With Unknown Actuator Faults

Ping Wang, Chengpu Yu, Ya‐Jun Pan

2023IEEE Transactions on Control of Network Systems31 citationsDOI

Abstract

This article studies the finite-time output-feedback cooperative formation problem of multiple marine surface vessels (MSVs) without using velocity information, where each MSV contains unknown time-varying actuator faults, ocean disturbances, and model uncertainties. Considering the performance specifications and requirements in practice, the formation errors and velocities are also required to change in a predefined compact set. Aiming at the challenge of unknown input gain caused by unknown time-varying multiplicative faults, a novel nonlinear extended state observer with an adaptive law is first constructed, which cannot only recover unmeasurable velocities from position-heading information but also simultaneously compensate for ocean disturbances, model uncertainties, and additive faults. Subsequently, combining the barrier Lyapunov function and the nonlinear tracking differentiator technique, a unified finite-time output-feedback cooperative control framework is developed, including both kinematics and kinetics, to prevent constraint deviation and avoid the computational complexity of the traditional backstepping method. Using finite-time stability theory, the designed output feedback cooperative controller can ensure that the desired cooperative performance is achieved within a finite time and tracking errors converge to a small neighborhood of the origin while ensuring that the closed-loop system is semiglobally uniformly ultimately bounded. Simulation examples are shown to demonstrate the effectiveness of the proposed control scheme.

Topics & Concepts

Control theory (sociology)BacksteppingDifferentiatorController (irrigation)ActuatorNonlinear systemLyapunov functionComputer scienceKinematicsTracking errorObserver (physics)Control engineeringEngineeringAdaptive controlControl (management)Filter (signal processing)Classical mechanicsAgronomyComputer visionPhysicsArtificial intelligenceQuantum mechanicsBiologyAdaptive Control of Nonlinear SystemsDistributed Control Multi-Agent SystemsStability and Control of Uncertain Systems