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Book Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation

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.

Book Estimation of the Longitudinal and Lateral Directional Aerodynamic Parameters from Flight Data for the NASA F A 18 Harv

Download or read book Estimation of the Longitudinal and Lateral Directional Aerodynamic Parameters from Flight Data for the NASA F A 18 Harv written by National Aeronautics and Space Adm Nasa and published by . This book was released on 2018-10-28 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: This progress report presents the results of an investigation focused on parameter identification for the NASA F/A-18 HARV. This aircraft was used in the high alpha research program at the NASA Dryden Flight Research Center. In this study the longitudinal and lateral-directional stability derivatives are estimated from flight data using the Maximum Likelihood method coupled with a Newton-Raphson minimization technique. The objective is to estimate an aerodynamic model describing the aircraft dynamics over a range of angle of attack from 5 deg to 60 deg. The mathematical model is built using the traditional static and dynamic derivative buildup. Flight data used in this analysis were from a variety of maneuvers. The longitudinal maneuvers included large amplitude multiple doublets, optimal inputs, frequency sweeps, and pilot pitch stick inputs. The lateral-directional maneuvers consisted of large amplitude multiple doublets, optimal inputs and pilot stick and rudder inputs. The parameter estimation code pEst, developed at NASA Dryden, was used in this investigation. Results of the estimation process from alpha = 5 deg to alpha = 60 deg are presented and discussed. Napolitano, Marcello R. Ames Research Center...

Book Aerodynamic Parameters of the Navion Airplane Extracted from Flight Data

Download or read book Aerodynamic Parameters of the Navion Airplane Extracted from Flight Data written by William Tull Suit and published by . This book was released on 1972 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Modeling of Aircraft Unsteady Aerodynamic Characteristics Part 3 Parameters Estimated from Flight Data Part 3 Parameters Estimated from Flight Data

Download or read book Modeling of Aircraft Unsteady Aerodynamic Characteristics Part 3 Parameters Estimated from Flight Data Part 3 Parameters Estimated from Flight Data written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-07-05 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: A nonlinear least squares algorithm for aircraft parameter estimation from flight data was developed. The postulated model for the analysis represented longitudinal, short period motion of an aircraft. The corresponding aerodynamic model equations included indicial functions (unsteady terms) and conventional stability and control derivatives. The indicial functions were modeled as simple exponential functions. The estimation procedure was applied in five examples. Four of the examples used simulated and flight data from small amplitude maneuvers to the F-18 HARV and X-31A aircraft. In the fifth example a rapid, large amplitude maneuver of the X-31 drop model was analyzed. From data analysis of small amplitude maneuvers ft was found that the model with conventional stability and control derivatives was adequate. Also, parameter estimation from a rapid, large amplitude maneuver did not reveal any noticeable presence of unsteady aerodynamics. Klein, Vladislav and Noderer, Keith D. Langley Research Center RTOP 505-64-52-01...

Book Real Time Stability and Control Derivative Extraction from F 15 Flight Data

Download or read book Real Time Stability and Control Derivative Extraction from F 15 Flight Data written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-06-04 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: A real-time, frequency-domain, equation-error parameter identification (PID) technique was used to estimate stability and control derivatives from flight data. This technique is being studied to support adaptive control system concepts currently being developed by NASA (National Aeronautics and Space Administration), academia, and industry. This report describes the basic real-time algorithm used for this study and implementation issues for onboard usage as part of an indirect-adaptive control system. A confidence measures system for automated evaluation of PID results is discussed. Results calculated using flight data from a modified F-15 aircraft are presented. Test maneuvers included pilot input doublets and automated inputs at several flight conditions. Estimated derivatives are compared to aerodynamic model predictions. Data indicate that the real-time PID used for this study performs well enough to be used for onboard parameter estimation. For suitable test inputs, the parameter estimates converged rapidly to sufficient levels of accuracy. The devised confidence measures used were moderately successful.Smith, Mark S. and Moes, Timothy R. and Morelli, Eugene A.Armstrong Flight Research Center; Langley Research CenterF-15 AIRCRAFT; PARAMETER IDENTIFICATION; REAL TIME OPERATION; STABILITY DERIVATIVES; CONTROL STABILITY; CONTROL SYSTEMS DESIGN; FREQUENCY DOMAIN ANALYSIS; FLIGHT CONDITIONS; INDUSTRIES; NASA PROGRAMS; FOURIER TRANSFORMATION; REGRESSION ANALYSIS; ALGORITHMS; ERROR ANALYSIS; ONBOARD DATA PROCESSING

Book Air Traffic Management and Control

Download or read book Air Traffic Management and Control written by Longbiao Li and published by BoD – Books on Demand. This book was released on 2021-12-15 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Implementation of a Personal Computer Based Parameter Estimation Program

Download or read book Implementation of a Personal Computer Based Parameter Estimation Program written by and published by . This book was released on 1992 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aircraft parameter estimation is the process of extracting numerical values for aerodynamic stability and control derivatives from flight test time history data. This process can be used as a verification or validation tool for results obtained from wind-tunnel testing or through computational analysis, and can obtain or improve estimations of dynamic derivatives. This study implements the MATLAB Personal Computer (PC) based maximum likelihood estimation routine for aircraft longitudinal and lateral-directional derivatives. The parameter estimation was first accomplished on generated simulated data, with and without noise. The noise consisted of measurement and state noise which used the Dryden Gust Model. Secondly, two actual longitudinal flight-test maneuvers are analyzed for the F-14A and the T-37 aircraft. Additionally, the simulated portion of this study can be an excellent instructional aid in Flight Dynamics and Flight Test Courses.

Book Implementation of a Personal Computer Based Parameter Estimation Program

Download or read book Implementation of a Personal Computer Based Parameter Estimation Program written by Robert Gordon Graham and published by . This book was released on 1992 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aircraft parameter estimation is the process of extracting numerical values for aerodynamic stability and control derivatives from flight test time history data. This process can be used as a verification or validation tool for results obtained from wind-tunnel testing or through computational analysis, and can obtain or improve estimations of dynamic derivatives. This study implements the MATLAB Personal Computer (PC) based maximum likelihood estimation routine for aircraft longitudinal and lateral-directional derivatives. The parameter estimation was first accomplished on generated simulated data, with and without noise. The noise consisted of measurement and state noise which used the Dryden Gust Model. Secondly, two actual longitudinal flight-test maneuvers are analyzed for the F-14A and the T-37 aircraft. Additionally, the simulated portion of this study can be an excellent instructional aid in Flight Dynamics and Flight Test Courses.

Book Aerodynamic Parameter Estimation Via Fourier Modulating Function Techniques

Download or read book Aerodynamic Parameter Estimation Via Fourier Modulating Function Techniques written by National Aeronautics and Space Administration (NASA) and published by Createspace Independent Publishing Platform. This book was released on 2018-06-30 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parameter estimation algorithms are developed in the frequency domain for systems modeled by input/output ordinary differential equations. The approach is based on Shinbrot's method of moment functionals utilizing Fourier based modulating functions. Assuming white measurement noises for linear multivariable system models, an adaptive weighted least squares algorithm is developed which approximates a maximum likelihood estimate and cannot be biased by unknown initial or boundary conditions in the data owing to a special property attending Shinbrot-type modulating functions. Application is made to perturbation equation modeling of the longitudinal and lateral dynamics of a high performance aircraft using flight-test data. Comparative studies are included which demonstrate potential advantages of the algorithm relative to some well established techniques for parameter identification. Deterministic least squares extensions of the approach are made to the frequency transfer function identification problem for linear systems and to the parameter identification problem for a class of nonlinear-time-varying differential system models. Pearson, A. E. Unspecified Center NAG1-1065; RTOP 505-64-52-01...

Book Extraction of Aerodynamic Parameters for Aircraft at Extreme Flight Conditions

Download or read book Extraction of Aerodynamic Parameters for Aircraft at Extreme Flight Conditions written by and published by . This book was released on 1985 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: The maximum likelihood estimator has been used to extract stability and control derivatives from flight data for many years. This paper briefly discusses the maximum likelihood estimator and the aircraft equations of motion that the estimator uses. The current strength and limitations associated with obtaining flight-determined aerodynamic coefficients in extreme flight conditions is assessed. The importance of the careful combining of wind tunnel results (or calculations) and flight results and the thorough evaluation of the mathematical model is emphasized. The basic concepts of minimization and estimation are examined for a simple computed aircraft example, and the cost functions that are to be minimized during estimation are defined and discussed. Graphic representations of the cost functions are given to help illustrate the minimization process.

Book Computational Intelligence Theories Applications and Future Directions Volume I

Download or read book Computational Intelligence Theories Applications and Future Directions Volume I written by Nishchal K. Verma and published by Springer. This book was released on 2018-07-31 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Application of Parameter Estimation to Aircraft Stability and Control

Download or read book Application of Parameter Estimation to Aircraft Stability and Control written by Richard E. Maine and published by . This book was released on 1986 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: