Application of Parameter Estimation to Aircraft Stability and Control PDF Download

Author: Richard E. Maine
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages : 190

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Author:
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages : 404

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 936

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Book Description

Author: Majeed Mohamed
Publisher: Springer Nature
ISBN: 9811601046
Category : Technology & Engineering
Languages : en
Pages : 66

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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: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781721002733
Category :
Languages : en
Pages : 96

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A maximum-likelihood output-error parameter estimation technique is used to obtain stability and control derivatives for the NASA Dryden Flight Research Center SR-71A airplane and for configurations that include experiments externally mounted to the top of the fuselage. This research is being done as part of the envelope clearance for the new experiment configurations. Flight data are obtained at speeds ranging from Mach 0.4 to Mach 3.0, with an extensive amount of test points at approximately Mach 1.0. Pilot-input pitch and yaw-roll doublets are used to obtain the data. This report defines the parameter estimation technique used, presents stability and control derivative results, and compares the derivatives for the three configurations tested. The experimental configurations studied generally show acceptable stability, control, trim, and handling qualities throughout the Mach regimes tested. The reduction of directional stability for the experimental configurations is the most significant aerodynamic effect measured and identified as a design constraint for future experimental configurations. This report also shows the significant effects of aircraft flexibility on the stability and control derivatives.Moes, Timothy R. and Iliff, KennethArmstrong Flight Research CenterCONTROLLABILITY; SR-71 AIRCRAFT; MAXIMUM LIKELIHOOD ESTIMATES; DIRECTIONAL STABILITY; AIRCRAFT STABILITY; SUBSONIC SPEED; YAW; MACH NUMBER; ERROR ANALYSIS; AERODYNAMICS

Author: Richard E. Maine
Publisher:
ISBN: 9789283515401
Category : Aerodynamics
Languages : en
Pages : 167

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Book Description
Pt. 1 examines the practical application of parameter estimation methodology to the problem of estimating aircraft stability and control derivatives from flight test data. The primary purpose is to present a comprehensive and unified picture of the entire parameter estimation process and its integration into a flight test program. Pt. 2 covers areas such as flight path reconstruction, nonlinear model identification, optimal input design and flight test instrumentation. This approach is referred to as the Two-Step Method (TSM), also known as Estimation Before Modelling (EBM) in the literature. It will be shown that this approach has significant practical advantages over methods which no attempt is made to decompose the joint parameter-state estimation problem. The two-step method is generally applicable to flight vehicles such as fixed wing aircraft and rotorcraft which are equipped with state of the art inertial reference systems.

Author: H. A. Hinds
Publisher:
ISBN: 9781871315035
Category : Airplanes
Languages : en
Pages : 92

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Book Description

Author: Timothy R. Moes
Publisher:
ISBN:
Category : Airplanes
Languages : en
Pages : 98

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Book Description
A maximum-likelihood output-error parameter estimation technique is used to obtain stability and control derivatives for the NASA Dryden Flight Research Center SR-71A airplane and for configurations that include experiments externally mounted to the top of the fuselage. This research is being done as part of the envelope clearance for the new experiment configurations. Flight data are obtained at speeds ranging from Mach 0.4 to Mach 3.0, with an extensive amount of test points at approximately Mach 1.0. Pilot-input pitch and yaw-roll doublets are used to obtain the data. This report defines the parameter estimation technique used, presents stability and control derivative results, and compares the derivatives for the three configurations tested. The experimental configurations studied generally show acceptable stability, control, trim, and handling qualities throughout the Mach regimes tested.

Author: David Mishne
Publisher:
ISBN:
Category : Control theory
Languages : en
Pages : 50

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Book Description

Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781720705260
Category :
Languages : en
Pages : 36

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Book Description
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