Accession Number : ADA136495
Title : Return Difference Feedback Design for Robust Uncertainty Tolerance in Stochastic Multivariable Control Systems.
Descriptive Note : Interim rept. 1 Oct 81-30 Sep 82,
Corporate Author : UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF ELECTRICAL ENGINEERING
Personal Author(s) : Safonov,M G
PDF Url : ADA136495
Report Date : Nov 1982
Pagination or Media Count : 28
Abstract : The objective of the research has been to develop engineering methodologies applicable, but not limited, to aerospace automatic control design problems in which there are performance specifications requiring precise control of system behavior in the presence of stochastic disturbances (e.g., wind gusts) and large-but-bounded uncertainties in the dynamical response of the system (e.g., parameter uncertainty, unmodeled nonlinearities, and so forth). A cohesive body of theory has been developed that enagles engineers to relate the ability of feedback control systems to meet such specifications directly and quantitatively to the return difference matrix associated with the system's feedback loops. Now results enabling L infinity optimization of returned difference signular value Bode plots promise to be of great value in robust multivariable feedback controller synthesis. Continuing research is cujrrently being aimed at further tightening the links between this theory and the most recent developments of modern stochastic linear optimal control synthesis thoery, and extending the results to admit more practical problems, so that this theory may be used more effectively by engineers to efficiently and systematically design the feedback gains that determine a feedback system's return difference matrix. Such results substantially reduce the dependence of control engineers on intuition, simulation, and luck and provide the know-how to successfully and efficiently solve the increasingly complex and demanding aerospace control problems of the coming decades.
Descriptors : *Systems engineering, *Control systems, *Problem solving, *Aerospace systems, Automatic, Specifications, Feedback, Multivariate analysis, Stochastic processes, Aircraft, Spacecraft, Loops, Optimization, Dynamic response, Research management
Subject Categories : Operations Research
Distribution Statement : APPROVED FOR PUBLIC RELEASE