Practical aspects of precision membrane antennae shape control

A theoretical elasticity model of an inflatable membrane reflector was developed to predict how the structure responds to perturbations at its boundary. The model employed interconnected cells to spatially discretize the membrane structure. Each cell consisted of three basic components - a spring, m...

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Bibliographic Details
Main Authors: Jenkins, C H, Tampi, M, Kalanovic, V D, Padmanabhan, K
Format: Conference Proceeding
Language:English
Online Access:Get full text
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Summary:A theoretical elasticity model of an inflatable membrane reflector was developed to predict how the structure responds to perturbations at its boundary. The model employed interconnected cells to spatially discretize the membrane structure. Each cell consisted of three basic components - a spring, mass and damper - while forming a symmetric cell configuration. A feedback learning method was used for locate state estimation and local parameter identification of the membrane. A learning algorithm was proposed using the output of a feedback controller as the error for training an adaptive feedforward neural network model. The feedback of the membrane shape was coupled with a mathematical model of boundary perturbation effects for control efforts.
ISSN:1062-922X