Use of neural networks for generating on-off commands for flexible systems

Author

Singhose, William ; Villanueva, Isela ; Seering, Warren

Author_Institution

Dept. of Mech. Eng., MIT, Cambridge, MA, USA

fYear

1997

fDate

16-18 Jul 1997

Firstpage

155

Lastpage

160

Abstract

Methods are presented that generate command profiles for flexible systems equipped with on-off actuators. Optimization methods are used to obtain the command profile for a limited number of possible slew distances. Using these data, neural networks are then trained to generate the command profiles for any desired slew distance. Several different types of networks are evaluated for use in this application. Using these results, methods are developed to produce new types of on-off commands that are more easily represented by neural networks

Keywords

actuators; feedforward neural nets; flexible structures; neurocontrollers; on-off control; optimisation; time optimal control; vibration control; actuators; flexible systems; multilayer neural network; multilayer neural networks; neurocontrol; on-off control; optimization; slew distances; time optimal control; vibration control; Actuators; Control systems; Delay effects; Fuels; Mechanical engineering; Neural networks; Optimal control; Optimization methods; Space shuttles; Space vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on

Conference_Location

Istanbul

ISSN

2158-9860

Print_ISBN

0-7803-4116-3

Type

conf

DOI

10.1109/ISIC.1997.626441

Filename

626441