Mobile sensing of field quantities is a question of interest for underwater and atmospheric fields. Consequently a number of approaches have been recently developed. In this work, a covariance-based trajectory optimization approach was adopted to develop a method for quantified comparison of candidate flight trajectories for measurements of an atmospheric field. With this method, comparisons are also possible among logistics scenarios involving different numbers and types of UAS platforms. In this approach a posteriori error variance based on spatial and temporal decorrelation scales leads to the optimization integral that is numerically evaluated for each proposed trajectory. A CM1 convective boundary layer simulation dataset was used for the initial evaluation of the method and to determine different spatial decorrelation scales in different directions. In addition, a dataset from a fixed weather tower was used to understand the impact of the temporal decorrelation scale. Ultimately, the uncertainty of field quantity estimates resulting from trajectory families were compared to determine which candidate trajectories are more suitable or are comparable for sampling the field variables of interest.
|Title of host publication||AIAA Scitech 2019 Forum|
|State||Published - 2019|
|Event||AIAA Scitech Forum, 2019 - San Diego, United States|
Duration: Jan 7 2019 → Jan 11 2019
|Name||AIAA Scitech 2019 Forum|
|Conference||AIAA Scitech Forum, 2019|
|Period||1/7/19 → 1/11/19|
Bibliographical noteFunding Information:
Suzanne Smith’s efforts are supported in part by the National Science Foundation under Grant No. 1539070, Collaboration Leading Operational UAS Development for Meteorology and Atmospheric Physics (CLOUD-MAP), to Oklahoma State University in partnership with the Universities of Oklahoma, Nebraska-Lincoln and Kentucky. The authors appreciate the talents and contributions of those participating in CLOUD-MAP and their inspiration of these flight planning logistics questions.
© 2019 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
ASJC Scopus subject areas
- Aerospace Engineering