A new self-organizing fuzzy logic control (SOFLC) design method is proposed. The proposed method is applied to the command line-of-sight (CLOS) guidance law design. The SOFLC contains two sets of fuzzy inference logic. One is the fuzzy logic controller and the other is the rule modifier. The new learning method of the rule modifier is developed based on a fuzzy learning algorithm. The modification value of each rule is based on the fuzzy firing weight, so that learning of the rule bases is reasonable. Finally, two engagement scenarios are examined, and a comparison between a fuzzy logic control (FLC), an optimal learning FLC, and the proposed SOFLC CLOS guidance laws is made. Simulation results show that the proposed SOFLC guidance law can achieve better guidance performance than the other guidance laws.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Self-organizing fuzzy learning CLOS guidance law design


    Beteiligte:
    Chih-Min Lin, (Autor:in) / Chun-Fei Hsu, (Autor:in) / Yi-Jen Mon, (Autor:in)


    Erscheinungsdatum :

    01.10.2003


    Format / Umfang :

    675852 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Fuzzy-logic-based CLOS guidance law design

    Chih-Min Lin, / Yi-Jen Mon, | IEEE | 2001



    CLOS + IRTH Composite Guidance

    Song, T.L. | Online Contents | 1997


    CLOS+IRTH composite guidance

    Taek Lyul Song / Tae Yoon Um | IEEE | 1997