Self‐tuning regulators (STRs) offer an attractive adaptive control option for uncertain aeroservoelastic (ASE) systems, because they are based upon online identification of the actual plant characteristics that can change in a theoretically unpredictable manner with flight conditions. Owing to the separate online identification and controller design modules, the self‐tuning approach is considered an indirect (or modular) adaptation scheme. When some statistical information is available about the noise inputs, it is possible to use a more accurate plant identification procedure, which in turn leads to a better performing STR. This chapter briefly discusses the ideas behind such designs. In the subsonic and supersonic regimes, the linearity of the unsteady aerodynamics may enable one to use gain scheduling with Mach number and dynamic pressure (or altitude) to adapt the regulator gains for flutter suppression, if the flutter point falls in either the subsonic or the supersonic regime.


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    Title :

    Self‐Tuning Regulation


    Contributors:

    Published in:

    Publication date :

    2016-04-04


    Size :

    10 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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