3-D Hybrid Trajectory Modeling for Unmanned Aerial Vehicles (UAVS)
| dc.contributor.advisor | Xie, Junfei | |
| dc.contributor.advisor | Garcia Carrillo, Luis Rodolfo | |
| dc.contributor.author | Wang, Baoqian | |
| dc.contributor.committeeMember | Zhang, Ning | |
| dc.date.accessioned | 2020-05-22T02:26:42Z | |
| dc.date.available | 2020-05-22T02:26:42Z | |
| dc.date.issued | 2019-08 | |
| dc.description.abstract | The burgeoning use of unmanned aerial vehicles (UAVs) evidences forthcoming environments where innumerable UAVs will appear in the National Airspace System (NAS). The UAS traffic man- agement (UTM) aims to provide solutions to enable safe integration of numerous UAVs into the NAS, but the design of effective UTM strategies faces significant challenges. One of the challenges is to develop high-fidelity trajectory models for UAVs of partially known or unknown dynamics. Tradi- tional physics-based models that require costly system identifications and field tests, and data-based models that require large amount of real flight data may not be feasible. To address this challenge, this paper introduces a hybrid 3-dimensional (3-D) UAV trajectory modeling framework, which in- tegrates the physics-based and data-based models to capture the dynamics of UAVs of interest with high accuracy using only a small amount of real flight data. Simulation studies and field tests validate and demonstrate the good performance of the proposed framework. | en_US |
| dc.description.college | College of Science and Engineering | en_US |
| dc.description.department | Computing Sciences | en_US |
| dc.format.extent | 32 pages | en_US |
| dc.identifier.uri | https://hdl.handle.net/1969.6/87881 | |
| dc.language.iso | en_US | en_US |
| dc.rights | This material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with its source. All rights are reserved and retained regardless of current or future development or laws that may apply to fair use standards. Permission for publication of this material, in part or in full, must be secured with the author and/or publisher. | en_US |
| dc.subject | Hybrid Model | en_US |
| dc.subject | Trajectory Modeling | en_US |
| dc.subject | UAS Traffic Management (UTM) | en_US |
| dc.subject | Unmanned Aerial Vehicles (UAVs) | en_US |
| dc.title | 3-D Hybrid Trajectory Modeling for Unmanned Aerial Vehicles (UAVS) | en_US |
| dc.type | Text | en_US |
| dc.type.genre | Thesis | en_US |
| thesis.degree.discipline | Computer Science | en_US |
| thesis.degree.grantor | Texas A & M University--Corpus Christi | en_US |
| thesis.degree.level | Masters | en_US |
| thesis.degree.name | Master of Science | en_US |