DocumentCode :
288707
Title :
Adaptive time-delay neural control in space structural platforms
Author :
Yen, Gary G.
Author_Institution :
USAF Philips Lab., Kirtland AFB, NM, USA
Volume :
4
fYear :
1994
fDate :
27 Jun-2 Jul 1994
Firstpage :
2622
Abstract :
The design of control algorithms for large space structures, possessing nonlinear dynamics which are often time-varying and likely ill-modeled, presents great challenges for all current methodologies. These limitations have led to the pursuit of a robust and fault tolerant structural controller. In the present paper, we propose the use of adaptive time-delay radial basis function (ATDRBF) networks as a learning controller in system identification and dynamic control of flexible structures. The ATDRBF network, which incorporates adaptive time-delays and interconnection weights, provides a feasible and flexible modeling technique to effectively capture all of the spatiotemporal interactions among the structure members. In the spirit of model reference adaptive control, we utilize the ATDRBF network as a building block to allow the neural network to function as an indirect closed-loop controller. The horizon-of-one controller regulates the dynamics of the nonlinear plant to follow a prespecified reference model asymptotically. This paper addresses the theoretical foundation of the architecture and demonstrates its applicability via specific examples
Keywords :
adaptive control; delays; feedforward neural nets; flexible structures; learning (artificial intelligence); neurocontrollers; nonlinear dynamical systems; robust control; adaptive time-delay neural control; adaptive time-delays; asymptotic reference model following control; flexible structures; horizon-of-one controller; ill-modeled time-varying nonlinear dynamics; indirect closed-loop controller; interconnection weights; large space structures; model reference adaptive control; radial basis function networks; robust fault-tolerant structural controller; space structural platforms; spatiotemporal interactions; Adaptive control; Adaptive systems; Algorithm design and analysis; Control systems; Fault tolerance; Flexible structures; Programmable control; Robust control; Structural plates; System identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
Type :
conf
DOI :
10.1109/ICNN.1994.374635
Filename :
374635
Link To Document :
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