Optimal Flight Path Determination in Turbulent Air: A Modified EKF Approach

Aerotecnica Missili & Spazio

View Publication Info
Field Value
Title Optimal Flight Path Determination in Turbulent Air: A Modified EKF Approach
Creator Grillo, Caterina
Montano, Fernando

Description By using the Extended Kalman Filter an accurate path following in turbulent air is performed. The procedure employssimultaneously two dierent EKFs: the rst one estimates disturbances, the second one aords to determine the necessarycontrols displacements for rejecting those ones. To tune the EKFs an optimization algorithm has been designed toautomatically determine Process Noise Covariance and Measurement Noise Covariance matrices. The rst lter, by usinginstrumental measurements gathered in turbulent air, estimates wind components. The second one obtains commandlaws able to follow the desired ight path. To perform this task aerodynamic coecients have been modied. Sucha procedure leads to a set of unknown stability and control parameters containing the required displacements of thecontrols. The lter estimates the new set of aircraft stability derivatives by using measurements made by the desired flight path parameters. Once the unknown stability and control derivatives have been determined, the obtained controldisplacements are used to perform an accurate path following in turbulent air. The obtained control laws are adaptiveand they depend by either the characteristics of the disturbance or the desired ight path. The proposed algorithm,using appropriate imposed constrains, permits to tune the lter without trial and error procedure.
Publisher Associazione Italiana di Aeronautica e Astronautica (AIDAA)
Date 2018-02-11
Type info:eu-repo/semantics/article
Peer-reviewed Article

Format application/pdf
Source Aerotecnica Missili & Spazio; Vol 96, No 4 (2017); 216-222
Language eng
Rights Copyright (c) 2018 Aerotecnica Missili & Spazio

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us


Copyright © 2015-2018 Simon Fraser University Library