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Author: Majeed Mohamed Publisher: Springer Nature ISBN: 9811601046 Category : Technology & Engineering Languages : en Pages : 66
Book Description
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.
Author: Majeed Mohamed Publisher: Springer Nature ISBN: 9811601046 Category : Technology & Engineering Languages : en Pages : 66
Book Description
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.
Author: Longbiao Li Publisher: BoD – Books on Demand ISBN: 1839698306 Category : Science Languages : en Pages : 112
Book Description
This book presents an overview of air traffic management and control. Chapters cover such topics as human factors in quality control, behavioral modeling of electric aircraft, aviation English, radar target classification, occupational health and safety, and terminal airspace sector capacity.
Author: Nishchal K. Verma Publisher: Springer ISBN: 9811311323 Category : Technology & Engineering Languages : en Pages : 615
Book Description
This book presents selected proceedings of ICCI-2017, discussing theories, applications and future directions in the field of computational intelligence (CI). ICCI-2017 brought together international researchers presenting innovative work on self-adaptive systems and methods. This volume covers the current state of the field and explores new, open research directions. The book serves as a guide for readers working to develop and validate real-time problems and related applications using computational intelligence. It focuses on systems that deal with raw data intelligently, generate qualitative information that improves decision-making, and behave as smart systems, making it a valuable resource for researchers and professionals alike.
Author: William Tull Suit Publisher: ISBN: Category : Aerodynamics Languages : en Pages : 68
Book Description
An iterative method, which is characterized as a maximum-likelihood minimum-variance technique, was used to extract the aerodynamic parameters of a Navion airplane from flight data. The purposes were to compare the results with parameters obtained from wind-tunnel tests and with results obtained by analog matching the same data, and to develop techniques for application of the parameter extraction program. Results from the study showed that the parameter-extraction program can produce aerodynamic parameters which will permit close estimation of the aircraft time histories used in the extraction process. The program determined an estimate of the standard deviations of the states and parameters. These estimates were used to indicate how well the calculated states fit the flight data and the confidence in the values of the estimated parameters. The study also showed that the values of the parameters were affected by the data and mathematical model used during the extraction process. Because of the lack of confidence in the parameters extracted by use of some of the sets of data, several parameters were estimated by other methods. By using a combination of methods, a set of parameters which gave a fit to the data was obtained.
Author: James L. Williams Publisher: ISBN: Category : Airplanes Languages : en Pages : 36
Book Description
A parameter-estimation algorithm was used to extract the longitudinal aerodynamic derivatives from flight data for the XC-142A airplane in a cruise condition. The flight data were the response to a tail-plane doublet input. Results of this study showed that a set of derivatives were determined which yielded a calculated aircraft response in close agreement with the measured response. This calculated response was in much closer agreement with the flight data than the response obtained by using derivatives which were calculated from empirical methods. There were large differences between some of the important derivatives extracted from flight data and those calculated from empirical methods. The reasons for these differences were not identified.
Author: Banati, Hema Publisher: IGI Global ISBN: 1522558535 Category : Computers Languages : en Pages : 412
Book Description
As technology continues to become more sophisticated, mimicking natural processes and phenomena becomes more of a reality. Continued research in the field of natural computing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror the natural processes and systems that have existed for centuries. Nature-Inspired Algorithms for Big Data Frameworks is a collection of innovative research on the methods and applications of extracting meaningful information from data using algorithms that are capable of handling the constraints of processing time, memory usage, and the dynamic and unstructured nature of data. Highlighting a range of topics including genetic algorithms, data classification, and wireless sensor networks, this book is ideally designed for computer engineers, software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the application of nature and biologically inspired algorithms for handling challenges posed by big data in diverse environments.
Author: R. A. Feik Publisher: ISBN: 9780642905932 Category : Aerodynamics Languages : en Pages : 28
Book Description
Flight data from a 60 deg. delta wing aircraft have been analysed using a modified Newton-Raphson parameter estimation procedure. The model equations used for the analysis were extended to account for incidence vane errors and non-linearities in the pitching moment curves. Longitudinal derivatives extracted from the data have been compared with wind tunnel measurements and some theoretical estimates and areas of agreement and disagreement identified. The results demonstrate the usefulness of the parameter identification method not only for the validation of aircraft mathematical models and for checking flight results against wind tunnel data but also for obtaining aerodynamic data not easily available through other means. (Author).
Author: R. A. Feik Publisher: ISBN: 9780642905925 Category : Aerodynamics Languages : en Pages : 32
Book Description
Flight data from a 60 degree delta wing aircraft have been analysed using a modified Newton-Raphson parameter estimation procedure. The model equations used for the analysis were extended to account for sideslip vane errors and for lateral accelerometer position error. Lateral derivatives extracted from the data have been compared with wind tunnel measurements and theoretical estimates and areas of agreement and disagreement identified. The method has also been applied to the analysis of fin loads measured in flight and some tentative conclusions reached. The results confirm the effectiveness of the parameter identification procedure in flight test analysis and its ready applicability to a variety of related problems. (Author).
Author: Majeed Mohamed
Author: Majeed Mohamed
Author: Longbiao Li
Author: Nishchal K. Verma
Author: William Tull Suit
Author: James L. Williams
Author: Banati, Hema
Author: 
Author: R. A. Feik
Author: 
Author: R. A. Feik