University of Southern California
Adaptive control with aerospace applications.
Degree: PhD, Electrical Engineering, 2013, University of Southern California
Robust and adaptive control techniques have a rich
history of theoretical development with successful application.
Despite the accomplishments made, attempts to combine the best
elements of each approach into robust adaptive systems has proven
challenging, particularly in the area of application to real world
aerospace systems. In this research, we investigate design methods
for general classes of systems that may be applied to
representative aerospace dynamics. By combining robust baseline
control design with augmentation designs, our work aims to leverage
the advantages of each approach. ❧ This research contributes the
development of robust model-based control design for two classes of
dynamics: 2nd order cascaded systems, and a more general MIMO
framework. We present a theoretically justified method for state
limiting via augmentation of a robust baseline control design.
Through the development of adaptive augmentation designs, we are
able to retain system performance in the presence of uncertainties.
We include an extension that combines robust baseline design with
both state limiting and adaptive augmentations. In addition we
develop an adaptive augmentation design approach for a class of
dynamic input uncertainties. We present formal stability proofs and
analyses for all proposed designs in the research. ❧ Throughout the
work, we present real world aerospace applications using relevant
flight dynamics and flight test results. We derive robust baseline
control designs with application to both piloted and unpiloted
aerospace system. Using our developed methods, we add a flight
envelope protecting state limiting augmentation for piloted
aircraft applications and demonstrate the efficacy of our approach
via both simulation and flight test. We illustrate our adaptive
augmentation designs via application to relevant fixed-wing
aircraft dynamics. Both a piloted example combining the state
limiting and adaptive augmentation approaches, and an unpiloted
example with adaptive augmentation show the ability of our approach
to retain desired performance in the presence of relevant system
uncertainty. Finally, we present alternative adaptive augmentation
design developed to mitigate time delays at the system input and
which demonstrates significant improvement over an existing widely
used adaptive augmentation approach when applied to fixed wing
Advisors/Committee Members: Ioannou, Petros (Committee Chair), Safonov, Michael G. (Committee Member), Flashner, Henryk (Committee Member), Lavretsky, Eugene (Committee Member).
Subjects/Keywords: adaptive control; flight control; modern control; optimal control; robust control
to Zotero / EndNote / Reference
APA (6th Edition):
Gadient, R. (2013). Adaptive control with aerospace applications. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225560/rec/512
Chicago Manual of Style (16th Edition):
Gadient, Ross. “Adaptive control with aerospace applications.” 2013. Doctoral Dissertation, University of Southern California. Accessed March 20, 2019.
MLA Handbook (7th Edition):
Gadient, Ross. “Adaptive control with aerospace applications.” 2013. Web. 20 Mar 2019.
Gadient R. Adaptive control with aerospace applications. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Mar 20].
Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225560/rec/512.
Council of Science Editors:
Gadient R. Adaptive control with aerospace applications. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/225560/rec/512