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Titolo:
Fuzzy logic based attitude control of the spacecraft X-38 along a nominal re-entry trajectory
Autore:
Wu, SF; Engelen, CJH; Chu, QP; Babuska, R; Mulder, JA; Ortega, G;
Indirizzi:
Delft Univ Technol, Fac Aerosp Engn, NL-2629 HS Delft, Netherlands Delft Univ Technol Delft Netherlands NL-2629 HS 29 HS Delft, Netherlands Delft Univ Technol, Fac Informat Technol & Syst, NL-2600 GA Delft, Netherlands Delft Univ Technol Delft Netherlands NL-2600 GA 00 GA Delft, Netherlands European Space Agcy, Estec, NL-2200 AG Noordwijk, Netherlands European Space Agcy Noordwijk Netherlands NL-2200 AG rdwijk, Netherlands
Titolo Testata:
CONTROL ENGINEERING PRACTICE
fascicolo: 7, volume: 9, anno: 2001,
pagine: 699 - 707
SICI:
0967-0661(200107)9:7<699:FLBACO>2.0.ZU;2-R
Fonte:
ISI
Lingua:
ENG
Soggetto:
ALGORITHMS;
Keywords:
fuzzy logic control; flight control; re-entry spacecraft; guidance navigation and control (GNC); CRV;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: Wu, SF Univ Surrey, Surry Space Ctr, Guildford GU2 5XH, Surrey, England Univ Surrey Guildford Surrey England GU2 5XH 5XH, Surrey, England
Citazione:
S.F. Wu et al., "Fuzzy logic based attitude control of the spacecraft X-38 along a nominal re-entry trajectory", CON ENG PR, 9(7), 2001, pp. 699-707

Abstract

Fuzzy logic control techniques are investigated for applications in the intelligent re-entry flight control of the ESA-NASA crew return vehicle. Three PD-Mamdani fuzzy controllers are constructed to control the inner-loop attitude dynamics, simulated by a fully nonlinear 3 degree-of-freedom simulator of the CRV. Each controller uses an angle tracking error and its derivative to calculate a commanded control surface deflection of the simulator. The input-domains are partitioned with 5 membership functions, resulting in 25 fuzzy rules for each rule-base. The output-domains are partitioned with 9 membership functions. The Mamdani controllers use a standard max-min inference process and a fast center of area method to calculate the crisp control signals. Simulation results show the ability to track a reference trajectory with acceptable performance, though the real strength of a nonlinear fuzzy logic controller is yet to be proven with more demanding benchmark trajectories. (C) 2001 Elsevier Science Ltd. All rights reserved.

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Documento generato il 04/12/20 alle ore 13:02:52