Download or read book Adaptive Neural Network Inverse Controller for General Aviation Safety written by Urpo J. Pesonen and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Model Following Inverse Controller with Adaptive Compensation for General Aviation Aircraft written by Hugh S. Bruner and published by . This book was released on 2007 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: [Author's abstract] The theory for an adaptive inverse flight controller, suitable for use on General Aviation aircraft, is developed in this research. The objectives of this controller are to separate the normally coupled modes of the basic aircraft and thereby permit direct control of airspeed and flight-path angle, meet prescribed performance characteristics as defined by damping ratio and natural frequency, adapt to uncertainties in the physical plant, and be computationally efficient. The three basic elements of the controller are a linear prefilter, an inverse transfer function, and an adaptive neural network compensator. The linear prefilter shapes accelerations required of the overall system in order to achieve the desired system performance characteristics. The inverse transfer function is used to compute the aircraft control inputs required to achieve the necessary accelerations. The adaptive neural network compensator is used to compensate for modeling errors during design or real-time changes in the physical plant. This architecture is patterned after the work of Calise, but differs by not requiring dynamic feedback of the state variables. The controller is coded in ANSI C and integrated with a simulation of a typical General Aviation aircraft. Twenty-three cases are simulated to prove that the objectives for the controller are met. Among these cases are simulated stability and controllability failures in the physical plant, as well as several simulated failures of the neural network. With the exception of some bounded speed-tracking error, the controller is capable of continued flight with any foreseeable failure of the neural network. Recommendations are provided for follow-on investigations by other researchers.
Download or read book Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation written by Majeed Mohamed and published by Springer Nature. This book was released on 2021-02-23 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents neural partial differentiation as an estimation algorithm for extracting aerodynamic derivatives from flight data. It discusses neural modeling of the aircraft system. The neural partial differentiation approach discussed in the book helps estimate parameters with their statistical information from the noisy data. Moreover, this method avoids the need for prior information about the aircraft model parameters. The objective of the book is to extend the use of the neural partial differentiation method to the multi-input multi-output aircraft system for the online estimation of aircraft parameters from an established neural model. This approach will be relevant for the design of an adaptive flight control system. The book also discusses the estimation of aerodynamic derivatives of rigid and flexible aircraft which are treated separately. The longitudinal and lateral-directional derivatives of aircraft are estimated from flight data. Besides the aerodynamic derivatives, mode shape parameters of flexible aircraft are also identified in the book as part of identification for the state space aircraft model. Since the detailed description of the approach is illustrated through the block diagram and their results are presented in tabular form with figures of parameters converge to their estimates, the contents of this book are intended for readers who want to pursue a postgraduate and doctoral degree in science and engineering. This book is useful for practicing scientists, engineers, and teachers in the field of aerospace engineering.
Download or read book Mobile Intelligent Autonomous Systems written by Jitendra R. Raol and published by CRC Press. This book was released on 2016-04-19 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: Going beyond the traditional field of robotics to include other mobile vehicles, this reference and "recipe book" describes important theoretical concepts, techniques, and applications that can be used to build truly mobile intelligent autonomous systems (MIAS). With the infusion of neural networks, fuzzy logic, and genetic algorithm paradigms for MIAS, it blends modeling, sensors, control, estimation, optimization, signal processing, and heuristic methods in MIAS and robotics, and includes examples and applications throughout. Offering a comprehensive view of important topics, it helps readers understand the subject from a system-theoretic and practical point of view.
Download or read book Application of a Six Degrees of Freedom Adaptive Controller to a General Aviation Aircraft written by Kimberly Ann Lemon and published by . This book was released on 2011 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an effort to increase general aviation safety, a simplified model reference adaptive control (MRAC), adapting to modeling error with only a bias neuron, is applied to a desktop simulation of the Hawker Beechcraft Corporation (HBC) CJ-144 fly-by-wire aircraft in six degrees of freedom. MRAC has been experimentally applied to military and commercial aircraft by the National Aeronautics and Space Administration and the Department of Defense. Previous research at Wichita State University has demonstrated promising results for MRAC's application to general aviation in three degrees of freedom, both in its ability to achieve desired handling qualities and adapt to unexpected changes in aircraft dynamics. MRAC is used to control the aircraft in the nominal case and adapts to maintain control with changes in flight condition or unexpected A matrix and B matrix failures. The HBC CJ-144 aircraft is configured for decoupled flight control where the pilot commands the airspeed, flight path angle, bank angle, and side force. The controller architecture consists of an inverse controller, single bias neuron adaptive element, model follower and linear controller. A six degrees of freedom dynamic inverse controller is derived to calculate the necessary thrust and control surface deflections in the nominal flight case. An artificial neural network is trained online to correct for uncertainties in the inverse and to adapt to changes in either the flight condition or the aircraft itself. The aircraft response is shaped by a model follower and linear controller. An artificial time delay metric is used to tune the controller gains for the desired performance. The controller and aircraft are simulated in the MATLAB/Simulink environment. Time response results are presented for maneuvers in each axis as well as aircraft response to unexpected failures. In simulation, the desired aircraft response was achieved. Additionally, the controller was able to maintain stability and complete maneuvers following A and B matrix failures. This controller is designed to be flight tested on the HBC CJ-144 fly-by-wire testbed.
Download or read book Kalman Filter written by Víctor M. Moreno and published by BoD – Books on Demand. This book was released on 2009-04-01 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book is divided into 24 chapters and organized in five blocks corresponding to recent advances in Kalman filtering theory, applications in medical and biological sciences, tracking and positioning systems, electrical engineering and, finally, industrial processes and communication networks.
Download or read book Fully Tuned Radial Basis Function Neural Networks for Flight Control written by N. Sundararajan and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Adaptive Neural Network Control of Aircraft written by Robert Richard Smith and published by . This book was released on 1992 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Journal of Guidance Control and Dynamics written by and published by . This book was released on 2009 with total page 954 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Direct Adaptive Aircraft Control Using Dynamic Cell Structure Neural Networks written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-08-17 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Dynamic Cell Structure (DCS) Neural Network was developed which learns topology representing networks (TRNS) of F-15 aircraft aerodynamic stability and control derivatives. The network is integrated into a direct adaptive tracking controller. The combination produces a robust adaptive architecture capable of handling multiple accident and off- nominal flight scenarios. This paper describes the DCS network and modifications to the parameter estimation procedure. The work represents one step towards an integrated real-time reconfiguration control architecture for rapid prototyping of new aircraft designs. Performance was evaluated using three off-line benchmarks and on-line nonlinear Virtual Reality simulation. Flight control was evaluated under scenarios including differential stabilator lock, soft sensor failure, control and stability derivative variations, and air turbulence. Jorgensen, Charles C. Ames Research Center NASA-TM-112198, A-976719A, NAS 1.15:112198 RTOP 519-30-12...
Download or read book 41st AIAA Aerospace Sciences Meeting Exhibit written by and published by . This book was released on 2003 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Control Approach for Software Quality Improvement written by W. Eric Wong and published by World Scientific. This book was released on 2011 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the topic of improving software quality using adaptive control approaches. As software systems grow in complexity, some of the central challenges include their ability to self-manage and adapt at run time, responding to changing user needs and environments, faults, and vulnerabilities. Control theory approaches presented in the book provide some of the answers to these challenges. The book weaves together diverse research topics (such as requirements engineering, software development processes, pervasive and autonomic computing, service-oriented architectures, on-line adaptation of software behavior, testing and QoS control) into a coherent whole. Written by world-renowned experts, this book is truly a noteworthy and authoritative reference for students, researchers and practitioners to better understand how the adaptive control approach can be applied to improve the quality of software systems. Book chapters also outline future theoretical and experimental challenges for researchers in this area.
Download or read book Adaptive Neural Network Control with Inverse Model written by Dongmok Sheen and published by . This book was released on 1995 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advances in Guidance Navigation and Control written by Liang Yan and published by Springer Nature. This book was released on 2021-11-12 with total page 5416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircraft. It covers a range of topics, including, but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation, and control. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.
Download or read book Nonlinear Flight Control Using Adaptive Critic Based Neural Networks written by Sergio Esteban Roncero and published by . This book was released on 2002 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Ultimately the purpose of the nonlinear flight control system developed in this work is to pave the way for an adaptive reconfigurable nonlinear controller that would make aviation a safe way of transportation even in the presence of control failures and/or damaged aerodynamic surfaces."--Abstract, p. iii.
Download or read book Application of Neural Network to Adaptive Control Theory for Super augmented Aircraft written by Denis J. S. R. Bertrand and published by . This book was released on 1991 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:
