SearcharxivSearch

arXiv subjects

Thor I. Fossen

Publications and source records attributed to Thor I. Fossen.

2 recordsLinked to original sources

A spherical amplitude-phase formulation for 3-D adaptive line-of-sight (ALOS) guidance with USGES stability guarantees

A recently proposed 3-D adaptive line-of-sight (ALOS) path-following algorithm addressed coupled motion dynamics of marine craft, aircraft and uncrewed vehicles under environmental disturbances such as wind, waves and ocean currents. Stability analysis established uniform semi-global exponential stability (USGES) using a body-velocity-based amplitude-phase representation of the North-East-Down kinematic differential equations. However, the analysis is limited to straight-line paths, and restrictive assumptions are needed to ensure convergence of the vertical crab angle estimation error to zero. In this paper, we revisit the ALOS framework and introduce a novel spherical amplitude-phase design model that uses an alternative definition of the vertical crab angle. Our proposed formulation enables a significantly simplified stability proof, while retaining the USGES property for straight-line paths, removing restrictive assumptions on constant altitude/depth or zero horizontal crab angle, and remaining valid for general 3-D motion with nonzero roll, pitch and flight-path angles. We also show that the USGES result extends to a class of curved 3-D paths.

eess.SY

Feedback Linearization Control for Systems with Mismatched Uncertainties via Disturbance Observers

This paper focuses on a novel feedback linearization control (FLC) law based on a self-learning disturbance observer (SLDO) to counteract mismatched uncertainties. The FLC based on BNDO (FLC-BNDO) demonstrates robust control performance only against mismatched time-invariant uncertainties while the FLC based on SLDO (FLC-SLDO) demonstrates robust control performance against mismatched time-invariant and -varying uncertainties, and both of them maintain the nominal control performance in the absence of mismatched uncertainties. In the estimation scheme for the SLDO, the BNDO is used to provide a conventional estimation law, which is used as being the learning error for the type-2 neuro-fuzzy system (T2NFS), and T2NFS learns mismatched uncertainties. Thus, the T2NFS takes the overall control of the estimation signal entirely in a very short time and gives unbiased estimation results for the disturbance. A novel learning algorithm established on sliding mode control theory is derived for an interval type-2 fuzzy logic system. The stability of the overall system is proven for a second-order nonlinear system with mismatched uncertainties. The simulation results show that the FLC-SLDO demonstrates better control performance than the traditional FLC, FLC with an integral action (FLC-I) and FLC-BNDO.

eess.SY