Noncolocated vibration control using neural networks

Author

Long, Theresa W. ; Hanzevack, Emil L. ; Caggiano, Stephanie

Author_Institution

NeuroDyne Inc., Williamsburg, VA, USA

fYear

1995

fDate

27-29 Aug 1995

Firstpage

9

Lastpage

14

Abstract

We have previously successfully developed collocated neurocontrollers for vibration suppression. The objective of this research is to develop neural network controllers for vibration suppression under the constraint of noncollocated control. Noncollocated control may be necessary under at least two scenarios: physical constraints of sensor/actuator placement, or reconfiguration due to damaged elements. The neural controller is based on forward dynamics and decentralized control. This controller has been demonstrated to be effective in vibration suppression for two different systems

Keywords

aerospace control; decentralised control; dynamics; flexible structures; neurocontrollers; recurrent neural nets; vibration control; decentralized control; forward dynamics; large space structure; neural network controllers; noncollocated vibration control; partially recurrent net; sensor/actuator placement; vibration suppression; Actuators; Control systems; Distributed control; Instruments; Neural networks; Neurocontrollers; Sensor arrays; Vehicle dynamics; Vehicles; Vibration control;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on

Conference_Location

Monterey, CA

ISSN

2158-9860

Print_ISBN

0-7803-2722-5

Type

conf

DOI

10.1109/ISIC.1995.525030

Filename

525030