MEASUREMENT FEEDBACK AND MODEL REDUCTION BY MODAL COST ANALYSIS. Academic Article

abstract

• Control gains for a measurement feedback controller are obtained by a sequence of truncations from the optimal gains. The closed loop mode truncation employed may be interpreted as a choice of which closed loop modes to control. This choice is made by comparing the contribution of each mode in the total quadratic performance cost. This ranking of the modes according to modal cost allows the construction of measurement feedback controllers (of specified dimension) which control only those modes that are deemed most critical according to quadratic cost criteria. In this way the control problem and the reduced order modeling problem are integrated. The Modal Cost Analysis and Synthesis (MCAS) algorithm produces a sequence of reduced measurement feedback controllers, giving the designer explicit tradeoffs between controller dimension and performance. The MCAS algorithm also produces reduced models. The algorithm has the novel feature of treating state dependent inputs.

authors

• Skelton, Robert

published proceedings

• National Conference Publication - Institution of Engineers, Australia

author list (cited authors)

• Skelton, R. E., & Gregory, C. Z.

complete list of authors

• Skelton, RE||Gregory, CZ

publication date

• January 1979

published in

• National Conference Publication- Institution of Engineers Australia Ncp  Journal

start page

• 211

end page

• 218