Aircraft System Identification

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Aircraft System Identification

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Author : Eugene Morelli
language : en
Publisher: Sunflyte Enterprises
Release Date : 2016

Aircraft System Identification written by Eugene Morelli and has been published by Sunflyte Enterprises this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Technology & Engineering categories.

This book provides a comprehensive overview of both the theoretical underpinnings and the practical application of aircraft modeling based on experimental data also known as aircraft system identification. Much of the material presented comes from the authors own extensive research and teaching activities at the NASA Langley Research Center, and is based on real-world applications of system identification to aircraft. The book uses actual flight-test and wind-tunnel data for case studies and examples, and is a valuable resource for researchers and practicing engineers, as well as a textbook for postgraduate and senior-level courses. [...] The methods and algorithms explained in the book are implemented in a NASA software toolbox called SIDPAC (System IDentification Programs for AirCraft). SIDPAC is written in MATLAB®, and is available by request from NASA Langley Research Center. SIDPAC is composed of many different tools that implement a wide variety of approaches explained fully in the book. These tools can be readily applied to solve aircraft system identification problems.

Aircraft System Identification And Control

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Author : Majeed Mohamed
language : en
Publisher:
Release Date : 2014-01-05

Aircraft System Identification And Control written by Majeed Mohamed and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-05 with categories.

Aircraft And Rotorcraft System Identification

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Author : Mark Brian Tischler
language : en
Publisher: AIAA Education
Release Date : 2012

Aircraft And Rotorcraft System Identification written by Mark Brian Tischler and has been published by AIAA Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Technology & Engineering categories.

Although many books have been written on the theory of system identification, few are available that provide a complete engineering treatment of system identification and how to successfully apply it to flight vehicles. This book presents proven methods, practical guidelines, and real-world flight-test results for a wide range of state-of-the-art flight vehicles, from small uncrewed aerial vehicles (UAVs) to large manned aircraft/rotorcraft.

Flight Test System Identification

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Author : Roger Larsson
language : en
Publisher: Linköping University Electronic Press
Release Date : 2019-05-15

Flight Test System Identification written by Roger Larsson and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-15 with Science categories.

With the demand for more advanced fighter aircraft, relying on unstable flight mechanical characteristics to gain flight performance, more focus has been put on model-based system engineering to help with the design work. The flight control system design is one important part that relies on this modeling. Therefore, it has become more important to develop flight mechanical models that are highly accurate in the whole flight envelope. For today’s modern fighter aircraft, the basic flight mechanical characteristics change between linear and nonlinear as well as stable and unstable as an effect of the desired capability of advanced maneuvering at subsonic, transonic and supersonic speeds. This thesis combines the subject of system identification, which is the art of building mathematical models of dynamical systems based on measurements, with aeronautical engineering in order to find methods for identifying flight mechanical characteristics. Here, some challenging aeronautical identification problems, estimating model parameters from flight-testing, are treated. Two aspects are considered. The first is online identification during flight-testing with the intent to aid the engineers in the analysis process when looking at the flight mechanical characteristics. This will also ensure that enough information is available in the resulting test data for post-flight analysis. Here, a frequency domain method is used. An existing method has been developed further by including an Instrumental Variable approach to take care of noisy data including atmospheric turbulence and by a sensor-fusion step to handle varying excitation during an experiment. The method treats linear systems that can be both stable and unstable working under feedback control. An experiment has been performed on a radio-controlled demonstrator aircraft. For this, multisine input signals have been designed and the results show that it is possible to perform more time-efficient flight-testing compared with standard input signals. The other aspect is post-flight identification of nonlinear characteristics. Here the properties of a parameterized observer approach, using a prediction-error method, are investigated. This approach is compared with four other methods for some test cases. It is shown that this parameterized observer approach is the most robust one with respect to noise disturbances and initial offsets. Another attractive property is that no user parameters have to be tuned by the engineers in order to get the best performance. All methods in this thesis have been validated on simulated data where the system is known, and have also been tested on real flight test data. Both of the investigated approaches show promising results.

Flight Vehicle System Identification

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Author : Ravindra V. Jategaonkar
language : en
Publisher: AIAA (American Institute of Aeronautics & Astronautics)
Release Date : 2006

Flight Vehicle System Identification written by Ravindra V. Jategaonkar and has been published by AIAA (American Institute of Aeronautics & Astronautics) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Science categories.

This valuable volume offers a systematic approach to flight vehicle system identification and exhaustively covers the time domain methodology. It addresses in detail the theoretical and practical aspects of various parameter estimation methods, including those in the stochastic framework and focusing on nonlinear models, cost functions, optimization methods, and residual analysis. A pragmatic and balanced account of pros and cons in each case is provided. The book also presents data gathering and model validation, and covers both large-scale systems and high-fidelity modeling. Real world problems dealing with a variety of flight vehicle applications are addressed and solutions are provided. Examples encompass such problems as estimation of aerodynamics, stability, and control derivatives from flight data, flight path reconstruction, nonlinearities in control surface effectiveness, stall hysteresis, unstable aircraft, and other critical considerations.

Evaluation Of A Frequency Response Technique For Aircraft System Identification

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Author : Allan T. Reed (CAPT, USAF.)
language : en
Publisher:
Release Date : 1985

Evaluation Of A Frequency Response Technique For Aircraft System Identification written by Allan T. Reed (CAPT, USAF.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Fourier transformations categories.

Rotorcraft System Identification

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Author :
language : en
Publisher:
Release Date : 1991

Rotorcraft System Identification 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 Aeronautics categories.

Aircraft Aerodynamic Parameter Estimation From Flight Data Using Neural Partial Differentiation

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Author : Majeed Mohamed
language : en
Publisher: Springer Nature
Release Date : 2021-02-23

Aircraft Aerodynamic Parameter Estimation From Flight Data Using Neural Partial Differentiation written by Majeed Mohamed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-23 with Technology & Engineering categories.

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.

Flight Test Validation Of A Frequency Based System Identification Method On An F 15 Aircraft

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Author : Gerard S. Schkolnik
language : en
Publisher:
Release Date : 1995

Flight Test Validation Of A Frequency Based System Identification Method On An F 15 Aircraft written by Gerard S. Schkolnik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with categories.

The Acccuracy Of Parameter Estimation In System Identification Of Noisy Aircraft Load Measurement

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Author : Jeffrey Knog
language : en
Publisher:
Release Date : 1994

The Acccuracy Of Parameter Estimation In System Identification Of Noisy Aircraft Load Measurement written by Jeffrey Knog and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Aeronautics categories.

"This thesis focuses on the subject of the accuracy of parameter estimation and system identification techniques. Motivated by a complicated load measurement from NASA Dryden Flight Research Center, advanced system identification techniques are needed. The objective of the problem is to accurately predict the load experienced by the aircraft wing structure during flight determined from a set of calibrated load and gage response relationship. We can then model the problem as a black box input-output system identification from which the system parameter has to be estimated. Traditional LS techniques and the issues of noisy data and model accuracy are addressed. A statistical bound reflecting the change in residual is derived in order to understand the effects of the perturbations on the data. Due to the intrinsic nature of the LS problem, LS solution faces the dilemma of the tradeoff between model accuracy and noise sensitivity. A method of relating the two conflicting performance indices is presented, thus allowing us to improve the noise sensitivity while at the same time confining the degradation of the model accuracy. SVD techniques for data reduction are studied and the equivalence of the Correspondence Analysis (CA) and Total Least Squares Criteria are proved. We also looked at nonlinear LS problems with NASA F-111 data set as an example. Conventional methods are neither easily applicable or suitable for the specific load problem since the exact model of the system is unknown. Neural Network (NN) does not require prior information on the model of the system. This robustness motivated us to apply the NN techniques on our load problem. Simulation results for the NN methods used in both the single load and the "warning signal" problems are both useful and encouraging. The performance of the NN (for single load estimate) is better than the LS approach, whereas no conventional approach was tried for the "warning signals" problem. The NN design methodology is also presented. The use of SVD, CA and Collinearity Index methods are used to reduce the number of neurons in a layer."--Page i.