This paper introduces a methodology to design automatically QFT (Quantitative Feedback Theory) robust controllers for SISO (single input-single output) plants with model uncertainty. The method generalizes previous automatic loop-shaping techniques, avoiding restrictive assumptions about the search space. This methodology applies two strategies: a) Evolutionary Algorithms, and b) Genetic Algorithms (GA). In both cases the objective is to search the QFT robust controller that fulfils the control specifications for the whole set of plant models within the uncertainty. Each strategy has been applied to a benchmark in order to validate the techniques.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Automatic loop-shaping of QFT robust controllers


    Beteiligte:


    Erscheinungsdatum :

    2009-07-01


    Format / Umfang :

    521711 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Design of gain-scheduled controllers based on parametric H-infinity loop shaping

    Pereira,R.L. / Kienitz,K.H. / Inst.Tecnologico des Aeronautica,BR | Kraftfahrwesen | 2015


    Application of model-based predictive and robust loop shaping control to automatic car steering

    Zambou, Nathan / Bollig, Alexander / Abel, Dirk et al. | Tema Archiv | 2005