DocumentCode :
2291147
Title :
Novel L1 Adaptive Control Approach to Autonomous Aerial Refueling with Guaranteed Transient Performance
Author :
Wang, Jiang ; Cao, Chengyu ; Hovakimyan, Naira ; Lavretsky, Eugene
Author_Institution :
Aerosp. & Ocean Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA
fYear :
2006
fDate :
14-16 June 2006
Firstpage :
3569
Lastpage :
3574
Abstract :
Autonomous aerial refueling autopilot design is addressed in this paper using a novel L1 neural network based adaptive control approach. The main advantage of the new approach is its ability to guarantee transient performance with desired specifications for system´s both input and output signals by systematic choice of design parameters. Simulation results for a fighter aircraft model illustrate the benefits of this control approach
Keywords :
adaptive control; aircraft control; neurocontrollers; adaptive control; autonomous aerial refueling autopilot design; fighter aircraft model; neural network; transient performance; Adaptive control; Aerodynamics; Aerospace control; Aircraft navigation; Coordinate measuring machines; Global Positioning System; Neural networks; Probes; Programmable control; Sea measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0210-7
Type :
conf
DOI :
10.1109/ACC.2006.1657271
Filename :
1657271
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=2291147
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