Title :
Noncolocated vibration control using neural networks
Author :
Long, Theresa W. ; Hanzevack, Emil L. ; Caggiano, Stephanie
Author_Institution :
NeuroDyne Inc., Williamsburg, VA, USA
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;
Conference_Titel :
Intelligent Control, 1995., Proceedings of the 1995 IEEE International Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-2722-5
DOI :
10.1109/ISIC.1995.525030
