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Nonlinear time-series-based adaptive control applicationsA control design methodology based on a nonlinear time-series reference model is presented. It is indicated by highly nonlinear simulations that such designs successfully stabilize troublesome aircraft maneuvers undergoing large changes in angle of attack as well as large electric power transients due to line faults. In both applications, the nonlinear controller was significantly better than the corresponding linear adaptive controller. For the electric power network, a flexible AC transmission system with series capacitor power feedback control is studied. A bilinear autoregressive moving average reference model is identified from system data, and the feedback control is manipulated according to a desired reference state. The control is optimized according to a predictive one-step quadratic performance index. A similar algorithm is derived for control of rapid changes in aircraft angle of attack over a normally unstable flight regime. In the latter case, however, a generalization of a bilinear time-series model reference includes quadratic and cubic terms in angle of attack.
Document ID
19930029233
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Mohler, R. R.
(NASA Langley Research Center Hampton, VA, United States)
Rajkumar, V.
(NASA Langley Research Center Hampton, VA, United States)
Zakrzewski, R. R.
(Oregon State Univ. Corvallis, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1991
Publication Information
Publication: In: IEEE Conference on Decision and Control, 30th, Brighton, United Kingdom, Dec. 11-13, 1991, Proceedings. Vol. 3 (A93-13001 02-63)
Publisher: Institute of Electrical and Electronics Engineers, Inc.
Subject Category
Cybernetics
Accession Number
93A13230
Funding Number(s)
CONTRACT_GRANT: NAG1-1081
CONTRACT_GRANT: NSF ECS-89-13773
CONTRACT_GRANT: DE-BI79-90BO-08243
Distribution Limits
Public
Copyright
Other

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