Neuro Flight Controllers For Aircraft Using Minimal Radial Basis Function Rbf Neural Networks
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Neuro Flight Controllers For Aircraft Using Minimal Radial Basis Function Rbf Neural Networks
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Author : Boon Hong Chua
language : en
Publisher:
Release Date : 1998
Neuro Flight Controllers For Aircraft Using Minimal Radial Basis Function Rbf Neural Networks written by Boon Hong Chua and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with categories.
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.
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.
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.
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.
Unmanned Aerial Vehicle Control Using Radial Basis Function Neural Network
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Author : Hongyi Zhang
language : en
Publisher:
Release Date : 2014
Unmanned Aerial Vehicle Control Using Radial Basis Function Neural Network written by Hongyi Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Drone aircraft categories.
Proceedings Of The 2004 Ieee International Symposium On Intelligent Control September 2 4 2004 The Grand Hotel Taipei Taiwan
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Author :
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 2004
Proceedings Of The 2004 Ieee International Symposium On Intelligent Control September 2 4 2004 The Grand Hotel Taipei Taiwan 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 2004 with Technology & Engineering categories.
Research Anthology On Reliability And Safety In Aviation Systems Spacecraft And Air Transport
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2020-09-24
Research Anthology On Reliability And Safety In Aviation Systems Spacecraft And Air Transport written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-24 with Transportation categories.
As with other transportation methods, safety issues in aircraft can result in a total loss of life. Recently, the air transport industry has come under immense scrutiny after several deaths occurred due to aircraft design and airlines that allowed improperly inspected aircraft to fly. Spacecraft too have found errors in system software that could lead to catastrophic failure. It is imperative that the aviation and aerospace industries continue to revise and refine safety protocols from the construction and design of aircraft, to secure and improve aviation systems, and to test and inspect aircraft. The Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport is a vital reference source that examines the latest scholarly material on the use of adaptive and assistive technologies in aviation to establish clear guidelines for the design and implementation of such technologies to better serve the needs of both military and civilian pilots. It also covers new information technology use in aviation systems to streamline the cybersecurity, decision making, planning, and design processes within the aviation industry. Highlighting a range of topics such as air navigation systems, computer simulation, and airline operations, this multi-volume book is ideally designed for pilots, scientists, engineers, aviation operators, air traffic controllers, air crash investigators, teachers, academicians, researchers, and students.
International Aerospace Abstracts
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Author :
language : en
Publisher:
Release Date : 1999
International Aerospace Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Aeronautics categories.
Sliding Mode Control Using Matlab
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Author : Jinkun Liu
language : en
Publisher: Academic Press
Release Date : 2017-05-25
Sliding Mode Control Using Matlab written by Jinkun Liu and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Technology & Engineering categories.
Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLAB® programs. Following the review of sliding mode control, the book includes sliding mode control for continuous systems, robust adaptive sliding mode control, sliding mode control for underactuated systems, backstepping, and dynamic surface sliding mode control, sliding mode control based on filter and observer, sliding mode control for discrete systems, fuzzy sliding mode control, neural network sliding mode control, and sliding mode control for robot manipulators. The contents of each chapter are independent, providing readers with information they can use for their own needs. It is suitable for the readers who work on mechanical and electronic engineering, electrical automation engineering, etc., and can also be used as a teaching reference for universities. Provides many sliding mode controller design examples to help readers solve their research and design problems Includes various, implementable, robust sliding mode control design solutions from engineering applications Provides the simulation examples and MATLAB programs for each sliding mode control algorithm