Investigation of Robust Combination Control for Elastic Vehicle Based on Reduced-Order Model

Article Preview

Abstract:

Putting forward with an integrated flight and aeroelasticity control method of elastic air vehicle and aiming at the reduction errors introduced during combination dynamic model reduction, the paper adopts mixed sensitivity H control to design low-order combination control law that satisfies its robustness based on reduced-order model. Against to the wide reduced-order error bounds that may influence control performance, the two-circuit design method is used, and combined with inner-circuit suboptimal feedback design, error bounds of equivalent model are greatly narrowed. Without any orders extra added to the controllers, the outer-circuit robust controller designed on that basis will effectively improve the performance of the system, significantly superior to the single circuit design method. It is shown in simulation results that such low-order combination law will not only provide satisfactory robustness and performance, but will also effectively suppress the occurrence of servo flutter, while the greatly-reduced orders will be helpful for the realization of projects.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3-12

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Kapsecong Ro, Jewel B. Barlow, Gyunghyun Bae. Integrated flight control law synthesis for an aeroelastic forward-swept wing aircraft. AIAA 1992-0046.

DOI: 10.2514/6.1992-46

Google Scholar

[2] Peper Y. Cheng, Timothy J. Hirner. Automated procedures for aircraft aeroservoelastic compensation. AIAA 1992-4606.

DOI: 10.2514/6.1992-4606

Google Scholar

[3] David K. Schmidt. On the integrated control of flexible supersonic transport aircraft. AIAA 1995-3200.

Google Scholar

[4] Ed Pendleton, Denis Bessette, Pete Field, Gerry Miller, Kenneth Griffin. The Active Aeroelastic Wing Flight Research Program - Technical program and model analytical development. AIAA 1998-(1972).

DOI: 10.2514/6.1998-1972

Google Scholar

[5] Gertjan Looye. Integrated flight mechanics and aeroelastic aircraft modeling using object-oriented modeling techniques. AIAA 1999-4192.

DOI: 10.2514/6.1999-4192

Google Scholar

[6] T. Jackson, E. Livne. Integrated Aeroservoelastic Design Optimization of Actively-Controlled Strain-Actuated Flight Vehicles. AIAA 2005-2170.

DOI: 10.2514/6.2005-2170

Google Scholar

[7] Dario H. Baldelli, P.C. Chen. Unified Rational Function Approximation Formulation For Aeroelastic And Flight Dynamics Analyses. AIAA 2006-(2025).

DOI: 10.2514/6.2006-2025

Google Scholar

[8] F. Kubica, T. Livet. Flight control law synthesis for a flexible aircraft. AIAA 1994-3630.

Google Scholar

[9] M. Hanel. Integrated flight and aeroelastic control of a flexible transport aircraft. AIAA 1998-4297.

Google Scholar

[10] Boris Moulin, Moshe Ldan, Mordechay Karpel. Aeroservoelastic structural and control optimization using classical and modern robust design schemes. AIAA 2000-1453.

DOI: 10.2514/6.2000-1453

Google Scholar

[11] M. Goman, M. Sidoryuk, A. Ustinov. Control law design for flexible aircraft - Comparison of the H-infinity-based and classical methods. AIAA 2005-6265.

DOI: 10.2514/6.2005-6265

Google Scholar

[12] Zames G. Feedback and Optimal Sensitivity: Model Reference Transformations, Multi plicative Seminorms, and Approximate Inverse. IEEE Trans., 1981, AC-26: 301-320.

DOI: 10.1109/tac.1981.1102603

Google Scholar