Advanced Techniques for Clearance of Flight Control Laws by Chris Fielding, Andras Varga, Samir Bennani, Michiel Selier

By Chris Fielding, Andras Varga, Samir Bennani, Michiel Selier

In this e-book fresh result of the GARTEUR (Group for Aeronautical study and know-how in Europe) motion workforce FM (AG11) are offered.
The publication specializes in research concepts for the flight clearance of hugely augmented aircrafts, together with contributions of 20 eu aeronautical businesses comparable to nationwide study facilities, Aerospace Industries and Universities. The projects and necessities of the commercial Clearance technique for Flight regulate legislation are awarded in addition to classical and especially new research tools. different equipment are evaluated and in comparison and their capability program to Civil plane is demonstrated.

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5. Doyle, J. C. Lecture Notes on Advances in Multivariable Control, ONR/Honeywell Workshop, Minneapolis, 1984. 6. Balas, G. , Doyle, J. , Packard, A. , µ-Analysis and Synthesis Toolbox User’s Guide, The Mathworks, 1995. 7. , and Doyle, J. , “The complex structured singular value”, Automatica, 29(1), pp. 71-109, 1993. 8. , Tits, A. and Doyle, J. , “Robustness in the presence of mixed parametric uncertainty and unmodelled dynamics”,IEEE Transactions on Automatic Control, AC-36(1), pp. 25-38, 1991.

In addition, in the case of flexible systems, it is possible to miss the critical frequency at which narrow and high peaks occur if the grid is not fine enough. Invariably, refining the grid means increasing the computational effort involved in computing the µ bounds. One solution to this problem is to recast the standard frequency dependent µ analysis problem as an augmented skewed-µ problem, where the frequency ω is treated as an additional uncertainty [1]. In this approach it is then possible to compute µ as a continuous function of frequency over some interval [ω, ω].

In general, µ-analysis techniques are only well developed for uncertain multivariable linear systems. This fact limits their application at present to the linear, frequency domain clearance criteria defined in Chapter 2. Further developments of the basic theory are required in order to produce µ-tools which can be used reliably to address non-linear and/or time-domain clearance criteria. See, for example, [1, 2, 30] for an overview of recent developments in this area. • The computation of tight bounds on µ can sometimes present difficulties, especially for problems involving a large number of purely real uncertainties.

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