Verifiable L1 adaptive controller for aerial refueling

Jiang Wang, Vijay V. Patel, Chengyu Cao, Naira Hovakimyan, Eugene Lavretsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Autonomous aerial refueling autopilot design is addressed in this paper using a novel L1 neural network based adaptive control approach, which is capable of accommodating trailing vortex induced uncertainties and uncertainties in control effectiveness. The main advantage of the new approach is its ability of fast adaptation that leads to uniform transient performance for system's both signals, input and output simultaneously, with guaranteed performance specifications. Simulation results verify the benefit of this new approach.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - AIAA Guidance, Navigation, and Control Conference 2007
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
Pages1-23
Number of pages23
ISBN (Print)1563479044, 9781563479045
DOIs
StatePublished - Jan 1 2007
Externally publishedYes
EventAIAA Guidance, Navigation, and Control Conference 2007 - Hilton Head, SC, United States
Duration: Aug 20 2007Aug 23 2007

Publication series

NameCollection of Technical Papers - AIAA Guidance, Navigation, and Control Conference 2007
Volume1

Other

OtherAIAA Guidance, Navigation, and Control Conference 2007
CountryUnited States
CityHilton Head, SC
Period8/20/078/23/07

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Verifiable L<sub>1</sub> adaptive controller for aerial refueling'. Together they form a unique fingerprint.

Cite this