刘春生   

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Language:English

Paper Publications

Title of Paper:Integrated multiple-model adaptive fault identification and reconfigurable fault-tolerant control for Lead-Wing close formation systems

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Affiliation of Author(s):自动化学院

Journal:INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

Key Words:Multiple-model fault identification adaptive reconfigurable fault-tolerant control H-infinity control Lead-Wing close formation systems

Abstract:This paper investigates the attitude and position tracking control problem for Lead-Wing close formation systems in the presence of loss of effectiveness and lock-in-place or hardover failure. In close formation flight, Wing unmanned aerial vehicle movements are influenced by vortex effects of the neighbouring Lead unmanned aerial vehicle. This situation allows modelling of aerodynamic coupling vortex-effects and linearisation based on optimal close formation geometry. Linearised Lead-Wing close formation model is transformed into nominal robust H-infinity models with respect to Mach hold, Heading hold, and Altitude hold autopilots; static feedback H-infinity controller is designed to guarantee effective tracking of attitude and position while manoeuvring Lead unmanned aerial vehicle. Based on H-infinity control design, an integrated multiple-model adaptive fault identification and reconfigurable fault-tolerant control scheme is developed to guarantee asymptotic stability of close-loop systems, error signal boundedness, and attitude and position tracking properties. Simulation results for Lead-Wing close formation systems validate the efficiency of the proposed integrated multiple-model adaptive control algorithm.

ISSN No.:0020-7721

Translation or Not:no

Date of Publication:2018-01-01

Co-author:刘春,Jiang Bin,zz

Correspondence Author:lcs,Jiang Bin

Copyright©2018- Nanjing University of Aeronautics and Astronautics·Informationization Department(Informationization Technology Center)
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