Author ORCID Identifier
Date Available
11-15-2018
Year of Publication
2018
Document Type
Doctoral Dissertation
Degree Name
Doctor of Philosophy (PhD)
College
Engineering
Department/School/Program
Mechanical Engineering
Advisor
Dr. Jesse B. Hoagg
Abstract
We present new adaptive control algorithms that address the problem of rejecting sinusoids with known frequencies that act on an unknown asymptotically stable linear time-invariant system. To achieve asymptotic disturbance rejection, adaptive control algorithms of this dissertation rely on limited or no system model information. These algorithms are developed in discrete time, meaning that the control computations use sampled-data measurements. We demonstrate the effectiveness of algorithms via analysis, numerical simulations, and experimental testings. We also present extensions to these algorithms that address systems with decentralized control architecture and systems subject to disturbances with unknown frequencies.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2018.478
Recommended Citation
Kamaldar, Mohammadreza, "DISCRETE-TIME ADAPTIVE CONTROL ALGORITHMS FOR REJECTION OF SINUSOIDAL DISTURBANCES" (2018). Theses and Dissertations--Mechanical Engineering. 129.
https://uknowledge.uky.edu/me_etds/129
Included in
Acoustics, Dynamics, and Controls Commons, Controls and Control Theory Commons, Navigation, Guidance, Control and Dynamics Commons
