Gust-load alleviation of a flexible aircraft using a disturbance observer

Ryan James Caverly, James Richard Forbes, Brian P. Danowsky, Peter M. Suh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, a disturbance observer is designed for the gust-load alleviation of a flexible high-altitude long-endurance (HALE) aircraft. A nonlinear dynamic model of a HALE vehicle is considered with a primary flight controller based on nonlinear dynamic inversion. Individual disturbance estimating filters (DEF) are designed to estimate and mitigate the effect of disturbances using sensor/actuator pairs of the aircraft. The individual DEFs are single-input single-output (SISO) disturbance observers for gust-load alleviation (DOGLAs) that are then combined together into a decoupled multi-input multi-output (D-MIMO) DOGLA. The D-MIMO DOGLA contains SISO DOGLAs dedicated to canceling out the effect of wind gusts on the body roll, pitch, and yaw rates of the aircraft, as well as on the deflection of the flexible wings. Numerical simulation results with the nonlinear flexible HALE aircraft model demonstrate that the D-MIMO DOGLA successfully mitigates the effect of wind gust loads on the aircraft in multiple flight profiles.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference, 2017
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624104503
DOIs
StatePublished - 2017
Externally publishedYes
EventAIAA Guidance, Navigation, and Control Conference, 2017 - Grapevine, United States
Duration: Jan 9 2017Jan 13 2017

Publication series

NameAIAA Guidance, Navigation, and Control Conference, 2017

Conference

ConferenceAIAA Guidance, Navigation, and Control Conference, 2017
CountryUnited States
CityGrapevine
Period1/9/171/13/17

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