This software tool 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 in cooperation with the Aerospace Department of the University of Bologna (Italy), and is based on real-world applications of system identification to aircraft. The software tool 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 practice tool for postgraduate and senior-level courses. All aspects of the system identification problem - including their interdependency - are covered: model postulation, experiment design, instrumentation, data compatibility analysis, model structure determination, state and parameter estimation, and model validation. The methods implemented by this software tool have been successfully applied to projects such as flight envelope expansion for new or modified aircraft, verification and correction of wind-tunnel test results and analytic methods such as computational fluid dynamics (CFD), control system design and refinement, stability analysis, simulation development, flying qualities assessment, and accident investigation, among others. The tool includes SIDPAC (System IDentification Programs for AirCraft), a software toolbox written in MATLAB®. SIDPAC is composed of many different tools that implement a wide variety of approaches explained fully with the software. These tools can be readily applied to solve system identification problems of interest to the user.

Software tool for Aircraft System Identification and Simulation.

SIMANI, Silvio
2007

Abstract

This software tool 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 in cooperation with the Aerospace Department of the University of Bologna (Italy), and is based on real-world applications of system identification to aircraft. The software tool 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 practice tool for postgraduate and senior-level courses. All aspects of the system identification problem - including their interdependency - are covered: model postulation, experiment design, instrumentation, data compatibility analysis, model structure determination, state and parameter estimation, and model validation. The methods implemented by this software tool have been successfully applied to projects such as flight envelope expansion for new or modified aircraft, verification and correction of wind-tunnel test results and analytic methods such as computational fluid dynamics (CFD), control system design and refinement, stability analysis, simulation development, flying qualities assessment, and accident investigation, among others. The tool includes SIDPAC (System IDentification Programs for AirCraft), a software toolbox written in MATLAB®. SIDPAC is composed of many different tools that implement a wide variety of approaches explained fully with the software. These tools can be readily applied to solve system identification problems of interest to the user.
2007
System Theory; Aircraft Model; Estimation Theory; Regression Methods; Maximum Likelihood Methods; Frequency Domain Methods; Real-Time Parameter Estimation; Experiment Design Data Compatibility; Data Analysis; MATLAB® Software.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/519931
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