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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
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- 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.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 16/01/21 alle ore 04:34:35