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 language||English (US)|
|Title of host publication||AIAA Guidance, Navigation, and Control Conference, 2017|
|Publisher||American Institute of Aeronautics and Astronautics Inc, AIAA|
|State||Published - 2017|
|Event||AIAA Guidance, Navigation, and Control Conference, 2017 - Grapevine, United States|
Duration: Jan 9 2017 → Jan 13 2017
|Name||AIAA Guidance, Navigation, and Control Conference, 2017|
|Conference||AIAA Guidance, Navigation, and Control Conference, 2017|
|Period||1/9/17 → 1/13/17|
Bibliographical noteFunding Information:
Acknowledgments The research of MC has been support by 200930I053 MICINN-CSIC Grant and by CGL2012-37222 Grant from MINECO. PGdS work has funded by grant CGL2007-66440-C04-01 from MICINN.
© 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.