This study demonstrates the closed-loop control of a shock-train location in the isolator of a Mach 2.2 direct-connect dual-mode scramjet facility (U.S. Air Force Research Laboratory research cell 18) operating on liquid fuel in ramjet mode. The shock-train location was established by the backpressure rise of combustion and actively controlled in a closed-loop fashion by actuating a water-cooled flap just downstream of the flameholder. The control task was to move the shock train to a user-selected location. The shock-train location was controlled using a proportional-derivative controller with real-time feedback of the shock-train location. Three algorithms for shock-train location were investigated: A threshold method that relied on wall-pressure measurements in the isolator, a predictive system identification-based mathematical model of the shock-train location and flap angle, and a predictive system identification-based mathematical model of the shock-train location and isolator pressure ratio. The first two methods were implemented experimentally within the closed-loop, whereas the third was examined through postprocessing. The threshold estimate closed-loop control scheme provided an approximately 3% (isolator length) tracking error; the predictive flap-position and pressure-ratio system identification predictions provided 10 and 7% tracking errors, respectively. All methods of shock-train location estimation could potentially facilitate closed-loop control of the shock train (individually or in parallel), with a tradeoff between the accuracy and information required for the implementation of each.


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    Titel :

    Closed-Loop Control of Shock-Train Location in a Combusting Scramjet


    Beteiligte:
    Vanstone, Leon (Autor:in) / Hashemi, Kelley E. (Autor:in) / Lingren, Joe (Autor:in) / Akella, Maruthi R. (Autor:in) / Clemens, Noel T. (Autor:in) / Donbar, Jeffrey (Autor:in) / Gogineni, Sivaram (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2017-10-16


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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