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Modal cost analysis for linear matrix-second-order systemsReduced models and reduced controllers for systems governed by matrix-second-order differential equations are obtained by retaining those modes which make the largest contributions to quadratic control objectives. Such contributions, expressed in terms of modal data, used as mode truncation criteria, allow the statement of the specific control objectives to influence the early model reduction from very high order models which are available, for example, from finite element methods. The relative importance of damping, frequency, and eigenvector in the mode truncation decisions are made explicit for each of these control objectives: attitude control, vibration suppression and figure control. The paper also shows that using modal cost analysis (MCA) on the closed loop modes of the optimally controlled system allows the construction of reduced control policies which feedback only those closed loop modal coordinates which are most critical to the quadratic control performance criterion. In this way, the modes which should be controlled (and hence the modes which must be observable by choice of measurements), are deduced from truncations of the optimal controller.
Document ID
19810026794
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Skelton, R. E.
(Purdue Univ. West Lafayette, IN, United States)
Hughes, P. C.
(Purdue University West Lafayette, Ind., United States)
Date Acquired
August 11, 2013
Publication Date
September 1, 1980
Subject Category
Cybernetics
Accession Number
81A11198
Funding Number(s)
CONTRACT_GRANT: JPL-955369
Distribution Limits
Public
Copyright
Other

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