Date Available
8-10-2022
Year of Publication
2022
Degree Name
Master of Science in Mechanical Engineering (MSME)
Document Type
Master's Thesis
College
Graduate School
Department/School/Program
Mechanical Engineering
First Advisor
Dr. Jesse Hoagg
Abstract
We review two adaptive control algorithms that address the problem of rejecting sinusoids with known frequencies that act on an unknown asymptotically stable linear time-invariant system. We present modifications to the algorithms that address the problems of sensor noise and actuator saturation. We demonstrate the effectiveness of the algorithms and compare the performance of the algorithms via numerical simulation and experimental testing.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2022.323
Funding Information
Author was supported by a scholarship through the Kentucky Industrial Assessment Center from 2016 to 2018.
Recommended Citation
Woods, William Grayson, "EXPERIMENTAL COMPARISON OF TWO SAMPLED-DATA ADAPTIVE CONTROL ALGORITHMS FOR REJECTING SINUSOIDAL DISTURBANCES" (2022). Theses and Dissertations--Mechanical Engineering. 199.
https://uknowledge.uky.edu/me_etds/199
