Abstract
While adaptive control has been used in numerous applications to achieve system performance without excessive reliance on dynamical system models, the necessity of high-gain learning rates for safety-critical systems to achieve fast adaptation can be a serious limitation of most adaptive controllers. In order to address this problem, two novel adaptive control approaches developed recently aim to limit the bandwidth of the closed-loop adaptive control system in order to suppress the high-frequency content contained in the system error dynamics and adaptation algorithms. Specifically, this key feature of these frameworks allows for robust and fast adaptation by utilizing high-gain learning rates without inducing high-frequency oscillations in system states and the adaptive control signal. In this paper, we apply these two methods to a high-fidelity scaled transport aircraft model, namely the generic transport model, developed at NASA Langley Research Center in the presence of unexpected structural damage and uncertainty in control surface effectiveness.
Recommended Citation
G. De La Torre et al., "Frequency-limited Adaptive Control of a Generic Transport Model in the Presence of System Uncertainty and Losses in Control Effectiveness," AIAA Guidance, Navigation, and Control Conference, American Institute of Aeronautics and Astronautics, Feb 2014.
The definitive version is available at https://doi.org/10.2514/6.2014-0788
Department(s)
Mechanical and Aerospace Engineering
Publication Status
Full Access
International Standard Book Number (ISBN)
978-160086962-4
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Institute of Aeronautics and Astronautics, All rights reserved.
Publication Date
28 Feb 2014
Comments
National Aeronautics and Space Administration, Grant NN12AM52A