Shape Estimation and Control of Intelligent Structures Using Artificial Neural Networks
Nie Runtu, Shao Chengxun
(Department of Astronautics & Mechanics, Harbin Institute of Tech nology 150001£©
Zou Zhenzhu
(Department of Transportation, Shijiazhuang Railway Institute 050043£©

Abstract:  Accurate shape estimation is a key to shape control of intelligent structures. In this paper, the shape estimator and controller of intelligent truss structures are developed by using Artificial Neural Networks (ANN), through which the current deformed state of the structures can be inferred and regulated from a limite d number of on-line measurements and actuations. And such a model may be used to deal with nonlinear problems of the structures as well. A numerical example is given to demonstrate the validation and effectiveness of the method.
Keywords: intelligent truss structures, artificial neura l network, shape estimation and control.