A Snapshot Decomposition Method for Reduced Order Modeling and Boundary Feedback Control
Author(s) -
Russell Chris Camphouse,
James Myatt,
Ryan Schmit,
Mark Glauser,
Julie Ausseur,
Marlyn Andino,
Ryan M. Wallace
Publication year - 2008
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2008-4195
Subject(s) - control theory (sociology) , boundary value problem , linear quadratic regulator , feedback control , snapshot (computer storage) , computer science , system dynamics , boundary (topology) , quadratic equation , mathematical optimization , optimal control , mathematics , control (management) , control engineering , engineering , mathematical analysis , geometry , artificial intelligence , operating system
: In this paper, we develop a reduced basis construction method that allows for separate consideration of baseline and actuated dynamics in the reduced modeling process. A prototype initial boundary value problem, governed by the two-dimensional Burgers equation, is formulated to demonstrate the utility of the method in a boundary control setting. Comparisons are done between reduced and full order solutions under open-loop boundary actuation to illustrate advantages gained by separate consideration of actuated dynamics. A tracking control problem is specified using a linear quadratic regulator formulation. Comparisons of feedback control effectiveness are done to demonstrate benefits in control effectiveness obtained from separate consideration of actuated dynamics during model reduction.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom