Design of robust suboptimal controllers for a generalized quadratic criterion
Loading...
Authors
Miller, Kurtis Brett
Subjects
Linear quadratic feedback control system
Robust control
Optimal control
Suboptimal control
Robust control
Optimal control
Suboptimal control
Advisors
Chen, Won-Zon
Date of Issue
1992-06
Date
June 1992
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
Standard linear quadratic regulator (LQR) designs guarantee a certain level of robustness. However, optimizing a generalized quadratic criterion produces coupled state and input terms and there are no longer any guarantees of good robustness properties. This thesis identifies how this problem arises and then presents several suboptimal, but robust controller design options which provide the control systems engineer with the ability to perform a trade-off between performance and robustness. The effectiveness of these methods is investigated and the trade-offs between performance and robustness are evaluated using computer simulation of a statically unstable fighter aircraft.
Type
Thesis
Description
Series/Report No
Department
Department of Electrical and Computer Engineering
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.