Title :
Autonomous neural control for spacecraft vibration suppression
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Abstract :
The objective of this research is to demonstrate the maturity of an autonomous neural control system appropriate for spacecraft vibration isolation and suppression. This technology focus area addresses the development of an innovative adaptive neural controller which is capable of accommodating system level failures or degradations under severe operating conditions. The feasibility and flexibility of the proposed methodology are validated under an on-going flight program. The proposed concept incorporates adaptive control and neural network technologies to provide the system with the desired robust stability and controller reconfiguration
Keywords :
adaptive control; aerospace control; neurocontrollers; robust control; space vehicles; vibration control; adaptive neural controller; autonomous neural control; controller reconfiguration; robust stability; severe operating conditions; spacecraft vibration suppression; system level failures; vibration isolation; Adaptive control; Control systems; Degradation; Isolation technology; Neural networks; Programmable control; Robust stability; Space technology; Space vehicles; Vibration control;
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-3590-2
DOI :
10.1109/CDC.1996.574365