2024-04-13T21:27:29Zhttps://keep.lib.asu.edu/oai/requestoai:keep.lib.asu.edu:node-1523412021-08-30T18:36:45Zoai_pmh:all152341
https://hdl.handle.net/2286/R.I.20971
http://rightsstatements.org/vocab/InC/1.0/
All Rights Reserved
2013
xiv, 152 p. : ill. (some col.)
Masters Thesis
Academic theses
Text
eng
Puttannaiah, Karan
Rodriguez, Armando A
Tsakalis, Konstantinos S
Si, Jennie
Arizona State University
Partial requirement for: M.S., Arizona State University, 2013
Includes bibliographical references (p. 125-126)
Field of study: Electrical engineering
The problem of systematically designing a control system continues to remain a subject of intense research. In this thesis, a very powerful control system design environment for Linear Time-Invariant (LTI) Multiple-Input Multiple-Output (MIMO) plants is presented. The environment has been designed to address a broad set of closed loop metrics and constraints; e.g. weighted H-infinity closed loop performance subject to closed loop frequency and/or time domain constraints (e.g. peak frequency response, peak overshoot, peak controls, etc.). The general problem considered - a generalized weighted mixed-sensitivity problem subject to constraints - permits designers to directly address and tradeoff multivariable properties at distinct loop breaking points; e.g. at plant outputs and at plant inputs. As such, the environment is particularly powerful for (poorly conditioned) multivariable plants. The Youla parameterization is used to parameterize the set of all stabilizing LTI proper controllers. This is used to convexify the general problem being addressed. Several bases are used to turn the resulting infinite-dimensional problem into a finite-dimensional problem for which there exist many efficient convex optimization algorithms. A simple cutting plane algorithm is used within the environment. Academic and physical examples are presented to illustrate the utility of the environment.
Electrical Engineering
engineering
Convex Optimization
Coprime Factorization
H-Infinity Control
Youla Parameterization
H@infinity symbol@lcsh
MIMO systems
Linear time invariant systems
H-infinity control design via convex optimization: toward a comprehensive design environment