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Actuator tuning for nonlinear truss structures - A neural network approachThe optimal actuator placement problem encompasses finding their best locations and best gains. The latter is referred to as tuning the actuators. This paper deals with tuning a given set of actuators in presence of known structural nonlinearities arising from gaps at some joints. For this purpose, an efficient neural network-based algorithm is proposed and illustrated using numerical simulations.
Document ID
19930050195
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Toomarian, N.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Bruno, R.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Salama, M.
(JPL Pasadena, CA, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1993
Publication Information
Publication: In: AIAA(ASME)ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 34th and AIAA/ASME Adaptive Structures Forum, La Jolla, CA, Apr. 19-22, 1993, Technical Papers. Pt. 6 (A93-33876 1
Publisher: American Institute of Aeronautics and Astronautics
Subject Category
Cybernetics
Report/Patent Number
AIAA PAPER 93-1680
Accession Number
93A34192
Distribution Limits
Public
Copyright
Other

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