The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, . . . . , new challenges. Much of this deVelopment work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The high performance control systems applications in aerospace and astronautics almost have a tradition of exploiting the most advanced control theoretical developments first. The optimal control and ffitering paradigm associated with the names of Kalman, Bucy, Anderson and Moore found application in the astronautics of the 1960'S and 1970'S. At the beginning of the 1980'S, control theory moved on to robustness, singular values and mu-analysis. This new work was associated with the names of Zames, Doyle, Glover, Balas among others. The Advances in Industrial Control monograph series have published several volumes over the years which have archived the applications experience garnered from applying robust control to the aerospace sector problems. Rick Lind and Marty Brenner add to this set with their volume on robust aeroservoelastic stability. This volume reports the application of the structured singular value to aeroelastic and aeroservoelastic aerospace problems.
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ISBN-13
978-1-4471-0849-8 (9781447108498)
DOI
10.1007/978-1-4471-0849-8
Schweitzer Klassifikation
1. Introduction.- 2. Robust Stability.- 2.1 Signals.- 2.2 Systems.- 2.3 Small Gain Theorem.- 2.4 Robust Stability.- 3. Structured Singular Value : ?.- 3.1 Linear Fractional Transformations.- 3.2 Structured Uncertainty.- 3.3 Structured Singular Value : ?.- A.3 Upper Bound for ?.- 4. Aeroservoelasticity.- 4.1 Lagrangian Derivation of Equations of Motion.- 4.2 Aerodynamic Derivative Representation.- 4.3 Servoelastic Modeling.- 4.4 Aeroelastic and Aeroservoelastic Stability.- A.4 Inertial to Body-fixed Coordinate Transformation.- 5. Aeroelastic and Aeroservoelastic Models.- 5.1 Aeroelastic Equation of Motion.- 5.2 Nominal Aeroelastic Model.- 5.3 Robust Aeroelastic Model.- 5.4 Robust Aeroservoelastic Model.- A.5 Models with Specific Aerodynamic Elements.- 6. Uncertainty Descriptions.- 6.1 Parametric Uncertainty in Structural Models.- 6.2 Parametric Uncertainty in Aerodynamic Models.- 6.3 Parametric Uncertainty in Modal Models.- 6.4 Dynamic Uncertainty.- 6.5 Uncertainty Associated with Nonlinearities.- 6.6 Uncertainty Associated with Flight Data.- 7. Incorporating Flight Data.- 7.1 Model Validation.- 7.2 Determining Levels of Uncertainty.- 8. Stability Margins.- 8.1 Robust Aeroelastic Stability Margins.- 8.2 Robust Aeroservoelastic Stability Margins.- 8.3 Properties of Robust Stability Margins.- 9. ? Method.- 9.1 Model Updating.- 9.2 Approaches to Utilize Flight Data.- 10. Robust Stability Margins of a Pitch-Plunge System.- 10.1 Equations of Motion.- 10.2 Nominal Aeroelastic Model.- 10.3 Robust Aeroelastic Model.- 10.4 Robust Aeroservoelastic Model.- 10.5 Aeroelastic Stability Margins.- 10.6 Aeroservoelastic Stability Margins.- A.10 Computer Code.- 11. Robust Flutter Margins of the F/A-18 SRA.- 11.1 Flight Flutter Test.- 11.2 Flight Data Analysis.- 11.3 Analytical Model.-11.4 Uncertainty Description.- 11.5 Nominal and Robust Flutter Pressures.- 11.6 Nominal and Robust Flutter Margins.- 11.7 Computational Evaluation.- 12. Robust Aeroservoelastic Stability of the F/A-18 HARV.- 12.1 Sensing and Control Elements.- 12.2 Analytical Model.- 12.3 Uncertainty Description.- 12.4 Stability Margins.- 13. On-Line Analysis during a Flight Test.- 13.1 Flutterometer.- 13.2 Aircraft Model.- 13.3 Simulated Flight Test.- 13.4 On-Line Robust Flutter Margins.- 14. Conclusion.- References.
