DocumentCode :
2928280
Title :
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
Link To Document :
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