Download e-book for iPad: Adaptive aeroservoelastic control by Ashish Tewari

By Ashish Tewari

This is often the 1st ebook on adaptive aeroservoelasticity and it offers the nonlinear and recursive suggestions for adaptively controlling the doubtful aeroelastic dynamics

  • Covers either linear and nonlinear keep watch over equipment in a complete manner
  • Mathematical presentation of adaptive regulate suggestions is rigorous
  • Several novel purposes of adaptive keep an eye on provided listed below are to not be present in different literature at the topic
  • Many reasonable layout examples are coated, starting from adaptive flutter suppression of wings to the adaptive keep an eye on of transonic limit-cycle oscillations

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Additional info for Adaptive aeroservoelastic control

Sample text

A detailed and accurate model of the plant for various operating points is necessary before a gain scheduler can be designed for it, which is not always possible, especially for ASE plants in which we are presently interested. 5 Schematic block diagram of a gain scheduling system y(t) Introduction 17 flutter and high angle-of-attack (stall) flutter. While an extensive research database exists on the transonic and high angle-of-attack flight, there are no efficient and reliable techniques available at present for modelling the essentially nonlinear characteristics of the aeroelastic plant under such conditions.

Any flow model that fully accounts for the unsteady transonic effects over an oscillating wing must necessarily be very complex, hence difficult to solve in real time. Owing to the inherent uncertainty of an unsteady aerodynamic model, a closed-loop controller for ASE Introduction 13 application must be quite robust to modelling errors. Furthermore, such a controller must also adapt to changing flight conditions, which renders it mathematically nonlinear even for a linear aeroelastic plant. This implies that as an accurate unsteady aerodynamics plant model is infeasible for aeroservoelastic design, adaptive plant identification in closed loop is the only practical alternative.

Finally, Chapter 11 covers the ultimate end of adaptive ASE design, namely the possible handling of transonic flutter and LCOs by adaptive control methods. Introduction 21 References Abel I 1979 An analytical design technique for predicting the characteristics of a flexible wing equipped with an active flutter suppression system and comparison with wind-tunnel data. NASA Technical Publication TP-1367. Abel I and Noll TE 1988 Research and applications in aeroservoelasticity at NASA Langley Research Center.

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