Using System Identification To Compare Global And Local Aerodynamic Modeling From Flight Data PDF Download
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Author | : Toby Earl Sorensen |
Publisher | : |
Total Pages | : 0 |
Release | : 2013 |
Genre | : |
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Download Using System Identification to Compare Global and Local Aerodynamic Modeling from Flight Data Book in PDF, ePub and Kindle
A method for identifying and comparing a longitudinal global aerodynamic model to a longitudinal local aerodynamic model for UTSI’s Piper Saratoga aircraft is explained and demonstrated. Large amplitude piloted inputs were used to estimate global nonlinear aerodynamic models from flight data. Flight derived global aerodynamic model structures, model parameter estimates, and associated uncertainties were provided for the longitudinal dimensional force and moment. The results from the global aerodynamic modeling were compared to local linear aerodynamic modeling results gathered with traditional small amplitude doublet inputs. The results from large amplitude piloted inputs compared favorably with small amplitude piloted inputs by ten percent in almost all cases and in significantly less test time.
Author | : Majeed Mohamed |
Publisher | : Springer Nature |
Total Pages | : 66 |
Release | : 2021-02-23 |
Genre | : Technology & Engineering |
ISBN | : 9811601046 |
Download Aircraft Aerodynamic Parameter Estimation from Flight Data Using Neural Partial Differentiation Book in PDF, ePub and Kindle
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 | : Ravindra V. Jategaonkar |
Publisher | : AIAA (American Institute of Aeronautics & Astronautics) |
Total Pages | : 612 |
Release | : 2015-02-16 |
Genre | : Technology & Engineering |
ISBN | : 9781624102783 |
Download Flight Vehicle System Identification Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 702 |
Release | : 1995 |
Genre | : Aeronautics |
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Download Scientific and Technical Aerospace Reports Book in PDF, ePub and Kindle
Author | : Eugene Morelli |
Publisher | : Sunflyte Enterprises |
Total Pages | : 618 |
Release | : 2016 |
Genre | : Technology & Engineering |
ISBN | : 9780997430615 |
Download Aircraft System Identification Book in PDF, ePub and Kindle
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.
Author | : Roger Larsson |
Publisher | : Linköping University Electronic Press |
Total Pages | : 326 |
Release | : 2019-05-15 |
Genre | : Science |
ISBN | : 9176850706 |
Download Flight Test System Identification Book in PDF, ePub and Kindle
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.
Author | : Meiping Wu |
Publisher | : Springer Nature |
Total Pages | : 3575 |
Release | : 2022-03-18 |
Genre | : Technology & Engineering |
ISBN | : 9811694923 |
Download Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) Book in PDF, ePub and Kindle
This book includes original, peer-reviewed research papers from the ICAUS 2021, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2021 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.
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Total Pages | : 1042 |
Release | : 1999 |
Genre | : Aeronautics |
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Download International Aerospace Abstracts Book in PDF, ePub and Kindle
Author | : |
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Total Pages | : 538 |
Release | : 1991 |
Genre | : Aeronautics |
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Download Aeronautical Engineering Book in PDF, ePub and Kindle
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Total Pages | : 600 |
Release | : 1993 |
Genre | : Power resources |
ISBN | : |
Download Energy Research Abstracts Book in PDF, ePub and Kindle