DocumentCode :
315200
Title :
Frequency-domain vibration control using adaptive neural network
Author :
Yen, Gary G.
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Volume :
2
fYear :
1997
fDate :
9-12 Jun 1997
Firstpage :
806
Abstract :
This paper proposes a frequency-domain adaptive neural controller appropriate for online system identification and real-time adaptive control. After a survey of existing literature involving controls of structural vibration, we report new developments carried out under the adaptive neural control program for the USAF Phillips Laboratory. The new results include a frequency-based neural control architecture suitable for MIMO systems subjected to tonal disturbances in the presence of sensor and actuator failures. This architecture is demonstrated on the ASTREX test facility
Keywords :
MIMO systems; adaptive control; aerospace control; compensation; identification; neurocontrollers; vibration control; ASTREX test facility; MIMO systems; USAF Phillips Laboratory; actuator failures; adaptive neural controller; frequency-domain vibration control; online system identification; real-time adaptive control; sensor failures; structural vibration; tonal disturbances; Adaptive control; Adaptive systems; Control systems; Frequency; Laboratories; Neural networks; Programmable control; Real time systems; System identification; Vibration control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
Type :
conf
DOI :
10.1109/ICNN.1997.616126
Filename :
616126
Link To Document :
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