Time delay margin analysis for adaptive flight control laws.

Loading...
Thumbnail Image

Persistent link to this item

Statistics
View Statistics

Journal Title

Journal ISSN

Volume Title

Title

Time delay margin analysis for adaptive flight control laws.

Published Date

2010-12

Publisher

Type

Thesis or Dissertation

Abstract

Adaptive control algorithms have the potential to improve performance and reliability in flight control systems. Implementation of adaptive control on commercial and military aircraft requires validation and verification of the control system's robustness to modeling error and uncertainty. Currently, there is a lack of tools available to rigorously analyze the robustness of adaptive systems due to their inherently nonlinear dynamics. This thesis addresses the use of nonlinear robustness analysis for adaptive flight control systems. First, a model reference adaptive controller is derived for an aircraft short period model. It is noted that the controller is governed by polynomial dynamics. Polynomial optimization tools are then applied to the closed-loop model to assess its robustness to time delays. Time delay margins are computed for various tuning of design parameters in the adaptive law, as well as in the presence of model uncertainty.

Description

University of Minnesota M.S. thesis. December 2010. Major: Aerospace Engineering & Mechanics. Advisors: Peter J. Seiler, Gary J. Balas. 1 computer file (PDF); viii, 48 pages. Ill. (some col.)

Related to

Replaces

License

Series/Report Number

Funding information

Isbn identifier

Doi identifier

Previously Published Citation

Suggested citation

Dorobantu, Andrei. (2010). Time delay margin analysis for adaptive flight control laws.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/103247.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.