Search results for " Meccanica del volo"

showing 10 items of 31 documents

Automatic Take Off and Landing for UAS Flying in Turbulent Air - An EKF Based Procedure

2020

An innovative use of the Extended Kalman Filter (EKF) is proposed to perform automatic take off and landing by the rejection of disturbances due to turbulence. By using two simultaneously working Extended Kalman Filters, a procedure is implemented: the first filter, by using measurements gathered in turbulent air, estimates wind components; the second one, by using the estimated disturbances, obtains command laws that are able to reject disturbances. The fundamental innovation of such a procedure consists in the fact that the covariance matrices of process (Q) and measurement (R) noise are not treated as filter design parameters. In this way determined optimal values of the aforementioned m…

0209 industrial biotechnologyExtended Kalman filter020901 industrial engineering & automationTurbulenceComputer scienceControl theory0103 physical sciencesExtended Kalman FilterAdaptive control laws Automatic take off/landing Extended Kalman FilterSettore ING-IND/03 - Meccanica Del Volo02 engineering and technology01 natural sciences010305 fluids & plasmas
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Wind component estimation for UAS flying in turbulent air

2019

One of the most important problem of autonomous flight for UAS is the wind identification, especially for small scale vehicles. This research focusses on an identification methodology based on the Extended Kalman Filter (EKF). In particular authors focus their attention on.the filter tuning problem. The proposed procedure requires low computational power, so it is very useful for UAS. Besides it allows a robust wind component identification even when, as it is usually, the measurement data set is affected by noticeable noises. (C) 2019 Elsevier Masson SAS. All rights reserved.

0209 industrial biotechnologyTurbulenceComputer scienceAuto-tuningWind estimationSettore ING-IND/03 - Meccanica Del VoloAerospace EngineeringScale (descriptive set theory)02 engineering and technology01 natural sciences010305 fluids & plasmasPower (physics)Data setExtended Kalman filterIdentification (information)020901 industrial engineering & automationEKFControl theory0103 physical sciencesWind componentUASFocus (optics)Aerospace Science and Technology
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Optimal Flight Path Determination in Turbulent Air: A Modified EKF Approach

2018

By using the Extended Kalman Filter an accurate path following in turbulent air is performed. The procedure employs simultaneously two dierent EKFs: the rst one estimates disturbances, the second one aords to determine the necessary controls displacements for rejecting those ones. To tune the EKFs an optimization algorithm has been designed to automatically determine Process Noise Covariance and Measurement Noise Covariance matrices. The rst lter, by using instrumental measurements gathered in turbulent air, estimates wind components. The second one obtains command laws able to follow the desired ight path. To perform this task aerodynamic coecients have been modied. Such a procedure leads …

Adaptive control Extended Kalman Filter Flight path following OptimizationSettore ING-IND/03 - Meccanica Del Volo
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Unconventional Aeronautical Investigatory Methods: The Case of Alitalia Flight AZ 112

2021

Viene svelato scientificamente la causa del disastro aereo di Montagna Longa del 5 maggio 1972 Based on unconventional air investigation techniques, this book highlights the mysterious crash of Alitalia flight AZ 112 on 5 May 1972, which killed 115 people, and was blamed solely on pilot negligence. Its findings show the cause of the disaster was not actually related to any pilot negligence, but, rather, it was the result of a criminal act. It argues that this attack was a symptom of the geopolitical tensions in Italy and Europe in that decade. Based on unconventional air investigation techniques, this book highlights the mysterious crash of Alitalia flight AZ 112 on 5 May 1972

Aeronautical Investigation Aerodynamics Flight MechanicsInvestigazione aerea Aerodinamica Meccanica del voloSettore ING-IND/06 - Fluidodinamica
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AN EXTENDED KALMAN FILTER BASED TECHNIQUE FOR ON-LINE IDENTIFICATION OF UAS PARAMETERS.

2015

The present article deals with the identification,at the same time, of aircraft stability and control parameters taking into account dynamic damping derivatives. Such derivatives,due to the rate of change of the angle of attack, are usually neglected. So the damping characteristics of aircraft dynamics are attributed only on pitch rate derivatives. To cope with the dynamic effects of these derivatives, authors developed devoted procedures to estimate them. In the present paper, a complete model of aerodynamic coefficients has been tuned-up to identify simultaneously the whole set of derivatives. Besides, in spite of the employed reduced order model and/or decoupled dynamics, a six degrees o…

Aircraft dynamic derivatives Extended Kalman FilterOn-line Identification Unmanned Aerial SystemsSettore ING-IND/03 - Meccanica Del VoloAircraft dynamic derivatives Extended Kalman Filter;On-line Identification Unmanned Aerial Systems
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Gain scheduling automatic landing system by modeling Ground Effect

2014

Taking ground effect into account a longitudinal automatic landing system is designed. Such a system will be tested and implemented on board by using the Preceptor N3 Ultrapup aircraft which is used as technological demonstrator of new control navigation and guidance algorithms in the context of the “Research Project of National Interest” (PRIN 2008) by the Universities of Bologna, Palermo, Ferrara and the Second University of Naples. A general mathematical model of the studied aircraft has been built to obtain non–linear analytical equations for aerodynamic coefficients both Out of Ground Effect and In Ground Effect. To cope with the strong variations of aerodynamic coefficients In Ground …

Automatic landing gain scheduling ground effect UASSettore ING-IND/03 - Meccanica Del Volo
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Collision Avoidance Problem for an Ekranoplan

2008

Collision Avoidance EkranoplanSettore ING-IND/03 - Meccanica Del Volo
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AUTOMATIC TAKE-OFF OR LANDING PATH FOLLOWING IN TURBULENT AIR FOR UAS - AN EKF BASED PROCEDURE

2015

By using the Extended Kalman Filter (EKF) an accurate take-off or landing flight path following in turbulent air is performed. The tuned up procedure employs simultaneously two different EKF: the first one estimates gust disturbances, the second one affords to determine the necessary controls displacements for rejecting those ones. In particular, the first filter, by using instrumental measurements gathered in turbulent air, estimates wind components. The second one obtains command laws able to follow the desired flight path. To perform this task aerodynamic coefficients have been modified by adding entirely new derivatives or synthetic increments to basic ones whose might the kind of chang…

FLIGHT PATH FOLLOWINGAUTOMATIC TAKE-OFF AND LANDINGSettore ING-IND/03 - Meccanica Del VoloEXTENDED KALMAN FILTER
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Trajectory tracking for an Ultralight WIG

2007

In this paper we present our research about a particular ultralight WIG. We have carried out the design of a Flight Control System that has to fix the control variables trend through a non-linear mathematical model, because of the particular geometric and aerodynamic configuration of this WIG. So, the non-linear mathematical model design has to reproduce exactly the aircraft behaviour either OGE or IGE. In particular, through classical semi-empirical relations, analytical equations have been obtained in order to evaluate incidence variations, downwash and upwash angles due to the ground. In the present paper only longitudinal dynamic is considered, because of its peculiarity in WIG's aircra…

Flight control system Ground effect TANDEM-CANARD WIGSettore ING-IND/03 - Meccanica Del Volo
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An EKF Based Method for Path Following in Turbulent Air

2017

An innovative use of the Extended Kalman Filter (EKF) is proposed to perform both accurate path following and adequate disturbance rejection in turbulent air. The tuned up procedure employs simultaneously two different EKF: the first one estimates gust disturbances, the second one estimates modified aircraft parameters. The first filter, by using measurements gathered in turbulent air, estimates both aircraft states and wind components. The second one, by using the estimated disturbances, obtains command laws that are able to reject disturbances. The predictor of the second EKF uses the estimated wind components to solve motion equations in turbulent air. Besides a set of unknown stability …

Fluid Flow and Transfer Processes020301 aerospace & aeronautics0209 industrial biotechnologyEngineeringbusiness.industryTurbulenceSettore ING-IND/03 - Meccanica Del VoloAerospace EngineeringEquations of motion02 engineering and technologyAerodynamicsStability (probability)Stability derivativesSet (abstract data type)Extended Kalman filterFilter (large eddy simulation)020901 industrial engineering & automation0203 mechanical engineeringControl and Systems EngineeringControl theoryAdaptive control laws Extended Kalman Filter Trajectory trackingElectrical and Electronic EngineeringbusinessPhysics::Atmospheric and Oceanic PhysicsInternational Review of Aerospace Engineering (IREASE)
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