Application Of An Adaptive Clustering Network To Flight Control Of A Fighter Aircraft Phase 1
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Application Of An Adaptive Clustering Network To Flight Control Of A Fighter Aircraft Phase 1
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Author :
language : en
Publisher:
Release Date : 1991
Application Of An Adaptive Clustering Network To Flight Control Of A Fighter Aircraft Phase 1 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
An artificial neural net controller was developed for a typical fighter aircraft's longitudinal Stability and Control Augmentation System (SCAS), using elevator and thrust-vector-angle controls, and operating at high angle of attack. The 'baseline' neurocontroller (NC) was in the feedforward loop (Kawato Type-C), with inputs from the pilot's pitch rate commands and rates and SCAS feedback error. An Adaptive Clustering Network algorithm was used to train the radial-basis-function neurons. Significant improvements in performance resulted from the NC action and these effects were analyzed by frequency domain describing functions. Thrust vector failures were handled satisfactorily, but reconfiguration of the SCAS was not possible within the simplified aircraft and NC effects. Phase II recommendations are included, such as: ways to choose signals for the neural net to more efficiently identify and separate failures of correlated control effectors; the further use of frequency domain describing functions to identity neurocontroller dynamic processes; and the development of a Neuro-controller Analysis Toolbox with diagnostic forcing functions, methods, analyses, and benchmark criteria for evaluation to a common NC standard.
Application Of An Adaptive Clustering Network To Flight Control Of A Fighter Aircraft
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Author : James C. Smith
language : en
Publisher:
Release Date : 1991
Application Of An Adaptive Clustering Network To Flight Control Of A Fighter Aircraft written by James C. Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Airplanes categories.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1995
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Aeronautics categories.
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
Fully Tuned Radial Basis Function Neural Networks For Flight Control
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Author : N. Sundararajan
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Fully Tuned Radial Basis Function Neural Networks For Flight Control written by N. Sundararajan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Science categories.
Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications.
Proceedings Of The 2000 Ieee International Symposium On Intelligent Control
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Author :
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 2000
Proceedings Of The 2000 Ieee International Symposium On Intelligent Control written by and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Technology & Engineering categories.
Government Reports Annual Index
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Author :
language : en
Publisher:
Release Date : 1992
Government Reports Annual Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Research categories.
Sections 1-2. Keyword Index.--Section 3. Personal author index.--Section 4. Corporate author index.-- Section 5. Contract/grant number index, NTIS order/report number index 1-E.--Section 6. NTIS order/report number index F-Z.
Application Of Neural Network To Adaptive Control Theory For Super Augmented Aircraft
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Author : Denis J. S. R. Bertrand
language : en
Publisher:
Release Date : 1991
Application Of Neural Network To Adaptive Control Theory For Super Augmented Aircraft written by Denis J. S. R. Bertrand and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Government Reports Announcements Index
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Author :
language : en
Publisher:
Release Date : 1992
Government Reports Announcements Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Science categories.
Self Organizing Radial Basis Function Networks For Adaptive Flight Control And Aircraft Engine State Estimation
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Author : Praveen Shankar
language : en
Publisher:
Release Date : 2007
Self Organizing Radial Basis Function Networks For Adaptive Flight Control And Aircraft Engine State Estimation written by Praveen Shankar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Adaptive control systems categories.
Abstract: The performance of nonlinear control algorithms such as feedback linearization and dynamic inversion is heavily dependent on the fidelity of the dynamic model being inverted. Incomplete or incorrect knowledge of the dynamics results in reduced performance and may lead to instability. Augmenting the baseline controller with approximators which utilize a parametrization structure that is adapted online reduces the effect of this error between the design model and actual dynamics. However, currently existing parameterizations employ a fixed set of basis functions that do not guarantee arbitrary tracking error performance. To address this problem, we develop a self-organizing parametrization structure that is proven to be stable and can guarantee arbitrary tracking error performance. The training algorithm to grow the network and adapt the parameters is derived from Lyapunov theory. In addition to growing the network of basis functions, a pruning strategy is incorporated to keep the size of the network as small as possible. This algorithm is implemented on a high performance flight vehicle such as F-15 military aircraft. The baseline dynamic inversion controller is augmented with a Self-Organizing Radial Basis Function Network (SORBFN) to minimize the effect of the inversion error which may occur due to imperfect modeling, approximate inversion or sudden changes in aircraft dynamics. The dynamic inversion controller is simulated for different situations including control surface failures, modeling errors and external disturbances with and without the adaptive network. A performance measure of maximum tracking error is specified for both the controllers a priori. Excellent tracking error minimization to a pre-specified level using the adaptive approximation based controller was achieved while the baseline dynamic inversion controller failed to meet this performance specification. The performance of the SORBFN based controller is also compared to a fixed RBF network based adaptive controller. While the fixed RBF network based controller which is tuned to compensate for control surface failures fails to achieve the same performance under modeling uncertainty and disturbances, the SORBFN is able to achieve good tracking convergence under all error conditions.
Adaptive Control Of Nonlinear Dynamic System Using Fully Tuned Radial Basis Function Neural Networks
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Author : Yan Li
language : en
Publisher:
Release Date : 2001
Adaptive Control Of Nonlinear Dynamic System Using Fully Tuned Radial Basis Function Neural Networks written by Yan Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.