Distributed Coherent Beamforming At 60 Ghz Enabled By Optically-Established Coherence,
2025
Arizona State University
Distributed Coherent Beamforming At 60 Ghz Enabled By Optically-Established Coherence, Drake Silbernagel, Yu Rong, Isabella Lenz, Prithvi Hemanth, Carl Morgenstern, Owen Ma, Nolan Matthews, Nadar Zaki, Kyle W. Martin, John D. Elgin, Jacob Holtom, Daniel W. Bliss, Kimberly Frey
Space Dynamics Laboratory Publications
We implement and experimentally demonstrate a 60 GHz distributed system leveraging an optical time synchronization system that provides precise time and frequency alignment between independent elements of the distributed mesh. Utilizing such accurate coherence, we perform receive beamforming with interference rejection and transmit nulling. In these configurations, the system achieves a coherent gain over an incoherent network of N nodes, significantly improving the relevant signal power ratios. Our system demonstrates extended array phase coherence times, enabling advanced techniques. Results from over-the-air experiments demonstrate a 14.3 dB signal-to-interference-plus-noise improvement in interference-laden scenarios with a contributing 13.5 dB null towards interference in …
Orbital Maneuvers And Interplanetary Trajectory Design Via Reinforcement Learning,
2025
Embry-Riddle Aeronautical University
Orbital Maneuvers And Interplanetary Trajectory Design Via Reinforcement Learning, Roberto Cuéllar Rangel
Doctoral Dissertations and Master's Theses
This dissertation investigates the application of reinforcement learning (RL) to the design and optimization of low-thrust spacecraft trajectories, with an emphasis on autonomy, adaptability, and robustness in the presence of system uncertainties and unmodeled perturbations. Classical approaches to low-thrust trajectory design are predominantly grounded in optimal control theory, which relies on the availability of precise dynamical models and often requires problem-specific reformulation and solver tuning. While optimal control methods offer high accuracy under deterministic conditions, their sensitivity to stochastic disturbances and computational limitations in highly nonlinear or uncertain environments pose significant challenges for future autonomous space missions.
To address these …
Mission-To-Designs: Automating Uav Conceptual Design Generation,
2025
Clemson University
Mission-To-Designs: Automating Uav Conceptual Design Generation, Nana A. Adjei
All Theses
The conceptual design stage of Unmanned Aerial Vehicles (UAVs) is an exploratory phase where designers are tasked with developing and evaluating a wide range of viable design concepts, considering different geometries and configurations based on mission requirements. The goal is to identify the most suitable design after the exploration for further development and progression to the next phase. Several tools and frameworks have been developed to assist designers in this stage, each offering unique capabilities, but all with the common aim of aiding in the efficient development and evaluation of conceptual designs. This is important in the UAV design process …
A Feasibility Study On Series Hybrid-Electric Propulsion For Narrow-Body Transport Aircraft,
2025
California Polytechnic State University, San Luis Obispo
A Feasibility Study On Series Hybrid-Electric Propulsion For Narrow-Body Transport Aircraft, Carver J. Glomb
Master's Theses
As global climate change accelerates, the reduction of carbon emissions has become a critical objective across multiple industries. The aviation sector, however, has lagged behind other transportation domains in implementing sustainable alternatives, despite growing demand for air travel. Recent research and emerging technologies have proposed several decarbonization pathways, including hydrogen fuel, sustainable aviation fuels (SAFs), and hybrid or fully electric propulsion systems. Among these, series hybrid-electric propulsion has received comparatively limited attention, particularly for application in transport-class aircraft. This study investigates the feasibility and emissions-reduction potential of a series hybrid-electric propulsion architecture applied to a representative narrow-body platform. A Python-based …
Development Of A Cost-Effective Daq For Measuring Brake Performance In Race Cars,
2025
University of Texas at Arlington
Development Of A Cost-Effective Daq For Measuring Brake Performance In Race Cars, Adrin Alias
2025 Spring Honors Capstone Projects - Archive
This project explores the feasibility of creating a cost-effective data acquisition (DAQ) system for high-speed, real-time brake performance testing of Formula SAE racecars. The research addresses the limitations of the current MoTeC DAQ system currently employed by the team, which is costly and time-consuming to set up for on-car testing. The team will use a brake dynamometer for steady-state comparisons of different brake pad compounds (senior design project), but evaluating real-world performance requires on-car testing. By systematically comparing various hardware platforms, sensors, communication protocols, and storage solutions, this project aims to balance cost-efficiency with reliability and performance. The research evaluates …
Towards Visual Inertial Navigation With Fixed Tetrahedral Targets,
2025
Florida Institute of Technology
Towards Visual Inertial Navigation With Fixed Tetrahedral Targets, Joao Leonardo Silva Cotta
Theses and Dissertations
This dissertation presents a robust method for 6DoF position estimation under impaired visual conditions utilizing a minimum 4-point Perspective-n-Point (P4P) solver designed for tetrahedral targets. Using SO(3) × R 3 instead of SE(3), the method uses a Lie group-based formulation to discriminate between rotation and translation, thereby enabling computationally efficient, resource-conscious op- optimization while preserving correct geometric behavior. Designed using the contemporary C++17 library ShomerTarget, the solver is analytically formulated and assessed under pragmatic robotic conditions. Particularly in low-light and high-dynamic environments, experiments on embedded systems, UAVs, and NASA’s Astrobee show that the proposed solver attains enhanced accuracy compared to …
An Msbe–Driven Advanced Air Mobility Post–Disaster Response System,
2025
University of South Alabama
An Msbe–Driven Advanced Air Mobility Post–Disaster Response System, Olabode A. Olanipekun
Graduate Theses and Dissertations (2019 - present)
In this work, an overarching conceptual design model towards the realization of a proposed Advanced Air Mobility Post–Disaster Response System (AAMPDR system) was explored through the focal lenses of systems thinking (ST), socio–technical systems (STS) and model–based systems engineering (MBSE) paradigms. Initially aimed at providing intervention for casualties and aerial support to emergency rescue workers on the ground in the event of a hurricane disaster around the Gulf shore of the Mobile bay area, Mobile city, AL., the scope of this research subsequently expanded to include a global outlook. Thereafter, culminating in the development of a generalized AAMPDR system model …
G.W.A.I.H.I.R. Guided Wing Aircraft For Intelligent Hybrid Insertion And Recovery,
2025
Kennesaw State University
G.W.A.I.H.I.R. Guided Wing Aircraft For Intelligent Hybrid Insertion And Recovery, Abdirahman Ahmed Shirwa, Zach Richards, Derek Harwood, Alex Duncan
Senior Design Project For Engineers
The paper outlines the conceptual and preliminary design of a hybrid vertical takeoff and landing (VTOL) heavy lift unmanned aerial vehicle (UAV) for autonomous cargo transport missions. The primary design objective was to create an aircraft capable of carrying a 15 kg payload over a range of 33 km, achieving a top cruise speed of 45 km/h and maintaining an endurance capacity of at least 90 minutes.
A comprehensive literature review informed key design decision, including airfoil selection, structural material, propulsion system configuration, and control. Key requirements were established early in the design process, such as payload capacity, energy efficiency, …
Choosing Robust Leadership: Encompassing The Best-Of-N Model And Swarm Intelligence Optimization For Heterogeneous Multiple Autonomous Unmanned Aerial Vehicle Systems,
2025
University of South Alabama
Choosing Robust Leadership: Encompassing The Best-Of-N Model And Swarm Intelligence Optimization For Heterogeneous Multiple Autonomous Unmanned Aerial Vehicle Systems, Kudamuhandiramlage Harith Kolitha Warnakulasooriya
Shelby Hall Graduate Research Forum Presentations
Presentation slides for a presentation given at the 1st annual Shelby Hall Graduate Research Forum at the University of South Alabama.
Creating And Analyzing Space Vehicle Seit/Pm Factors,
2025
Air Force Institute of Technology
Creating And Analyzing Space Vehicle Seit/Pm Factors, Jordan A. Bosco
Theses and Dissertations
The Department of Defense relies on accurate cost estimation to inform budget decisions. Beyond being a critical component of the Defense Acquisition System, cost estimation is a legal requirement in the budgeting process. Cost analysts, therefore, have both a fiduciary and statutory responsibility to produce realistic estimates. Among the many elements of a space system cost estimate is Space Vehicle Systems Engineering, Integration & Test, and Program Management (SEIT/PM). While existing factors aid in estimating SEIT/PM, Space Systems Command is interested in research in alternatives to the current methods and crosschecks for those methods. This study develops a set of …
Topology-Driven Performance Analyses In Consensus Algorithms For Multi-Agent Systems,
2025
University of Texas at Arlington
Topology-Driven Performance Analyses In Consensus Algorithms For Multi-Agent Systems, Brandon Ayala
Mechanical and Aerospace Engineering Theses - Archive
This thesis presents a simulation-based analysis of consensus algorithms in multi-agent systems, focusing on how network topology influences convergence performance. Both first-order and second-order linear consensus dynamics were examined across a variety of network configurations, including undirected and directed versions of cycle graphs, star graphs, minimum spanning trees, and fully connected graphs. In addition to standard consensus problems, leader-follower network structures were introduced to explore the impact of leader placement on convergence behavior, and extensions to multi-leader systems were analyzed to study robustness and convergence under multiple reference inputs. Graph-theoretic properties such as connectivity, degree distribution, and Laplacian eigenvalues were …
Simulation-To-Hardware Validation Of Mpc For Binary Thruster 2d Cubesat Control,
2025
University of Kentucky
Simulation-To-Hardware Validation Of Mpc For Binary Thruster 2d Cubesat Control, Aevar Amundinusarson Oefjoerd
Theses and Dissertations--Mechanical and Aerospace Engineering
Small satellites must execute precise, fuel-limited maneuvers under strict actuation and operational constraints. Model Predictive Control (MPC) is a suitable approach because it optimizes future actions while explicitly enforcing these limits. This work evaluates (1) whether MPC can operate in real time using binary (on/off), asymmetric thrusters, and (2) whether a high-fidelity digital twin can be used to tune and validate the controller prior to hardware testing.
An MPC framework was implemented on a planar satellite prototype that floats on air bearings, operates at 16.7 Hz (60 ms period), and uses eight binary thrusters exhibiting up to 13.2% variation in …
An Operational Field Study: A Comparison Of Piloting Uncrewed Underwater Vehicles And Uncrewed Aircraft Systems,
2025
Embry-Riddle Aeronautical University
An Operational Field Study: A Comparison Of Piloting Uncrewed Underwater Vehicles And Uncrewed Aircraft Systems, David Thirtyacre, Joseph Cerreta, Pete Miller, Kimberly Luthi, Jolee Thirtyacre
Publications
and operations, the ability to cross-train personnel in both Uncrewed Underwater Vehicles and Small Uncrewed Aircraft System operations has become a focal point for efficiency and workforce optimization. This study presents a comparative analysis of the operational and human factor considerations involved in piloting mini UUV and sUASs, highlighting the key similarities and differences in control methods, environmental influences, navigation, emergency procedures, and situational awareness. A qualitative experimental field study was conducted between July 2024 and October 2024, involving real-world deployments of both systems in maritime and aerial environments. Findings indicated that while UUV and sUAS operators relied on remote …
Aircraft Turnaround Bottlenecks: Addressing Ground Handling Delays For Operational Excellence,
2025
RAMAIAH INSTITUTE OF TECHNOLOGY , BANGALORE
Aircraft Turnaround Bottlenecks: Addressing Ground Handling Delays For Operational Excellence, Vigneswaran Cm, Syedeen Khan, Benedict M, Srinath R, Mukesh Pr, Jayaram R Pothnis, Inamul Hasan
International Journal of Aviation, Aeronautics, and Aerospace
Ground handling delays at major airports pose significant challenges, impacting operational efficiency, airline schedules, and passenger satisfaction. This study explores the root causes of these delays, including resource constraints, operational inefficiencies, adverse weather, technical failures, and security issues. By examining case studies from major airports, the report identifies key solutions such as technology integration, infrastructure upgrades, staff training, standardized procedures, and enhanced communication systems. The findings underscore the importance of adopting proactive and collaborative approaches to optimize ground handling operations, ensuring smoother airport workflows and improved service delivery in the face of growing air traffic demands.
Drone-Based Medication Delivery For Rural, Flood-Prone Coastal Cities,
2025
Old Dominion University
Drone-Based Medication Delivery For Rural, Flood-Prone Coastal Cities, Yin-Hsuen Chen, Amro M. El-Adle, Kevin J. O'Brien, Taylor Wentworth, Heather G. Richter
Center for Geospatial Science, Education & Analytics Faculty Publications
Access to healthcare remains a critical challenge for rural populations, particularly in flood-prone coastal communities where transportation barriers limit access to essential medical services. This study evaluates the effectiveness of drone-based medication delivery in improving healthcare accessibility for vulnerable populations on Virginia’s Eastern Shore. Compared to traditional personal vehicle travel, drone delivery reduced trip times from up to 50 minutes to under 10 minutes for more than 80% of the population, including elderly patients. Using publicly available datasets, we developed two transportation vulnerability indices that incorporate age, travel time, and flood risk to prioritize patients for drone-based pharmaceutical delivery. These …
Development Of A Design Tool For Tow-Steered Composite Structures With Machine Learning-Assisted Modeling,
2025
University of Texas at Arlington
Development Of A Design Tool For Tow-Steered Composite Structures With Machine Learning-Assisted Modeling, Bangde Liu
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Fiber-reinforced composites (FRCs) are widely used in aerospace, automotive, and other engineering applications due to their lightweight characteristics and superior mechanical properties. Traditional FRCs employ a fixed fiber orientation in each layer, and while different layup sequences can tailor performance, the mechanical properties remain spatially uniform. Tow-steered composites, which enable fibers to follow curvilinear paths, offer the potential for spatially varying stiffness and strength, improving structural performance.
This dissertation addresses key challenges in modeling and designing tow-steered composite structures, including the lack of commercial design tools, the high computational cost of design optimization, and the need to efficiently evaluate manufacturing …
Assembly, Integration And Test,
2025
Utah State University
Assembly, Integration And Test, Utah State University Space Dynamics Laboratory
Space Dynamics Laboratory Publications
What is “AI&T”
• A continuous, iterative process of turning low level components into the system of hardware, software and ground tools that meet YOUR mission
• Teaching the engineering team to UNDERSTAND the system they’ve built
- It does exactly what it was designed to do, now figure out what that was…
• Verifying mechanical, electrical, data and software interfaces
- Does it fit?
- Does it talk?
- Is it on?
Command & Data Handling, Firmware & Software,
2025
Utah State University
Command & Data Handling, Firmware & Software, Utah State University Space Dynamics Laboratory
Space Dynamics Laboratory Publications
UNP Presentation on Command & Data Handling, Firmware & Software
Design, Implementation, And Testing Of Spatial Disorientation Scenarios In A Modified Hexapod Motion Simulator,
2025
Oklahoma State University
Design, Implementation, And Testing Of Spatial Disorientation Scenarios In A Modified Hexapod Motion Simulator, Jarod Hinckley, Ryan Paul, Logan Rock, Joe Conner, Jon M. Loffi
International Journal of Aviation, Aeronautics, and Aerospace
Abstract
Investigations into aviation accidents aim to identify root causes and enhance safety. Despite advancements in safety measures, technology, and education, general aviation accident rates remain stable, with loss of control identified as the leading cause. Spatial disorientation is a significant contributing factor in these incidents, accounting for approximately 10% of general aviation accidents—90% of which are fatal. Addressing spatial disorientation is increasingly critical with the emergence of Advanced Air Mobility (AAM) vehicles, a sector projected to reach a $30 billion market by 2030. While AAM is expected to transition toward full autonomy, human pilots will operate these vehicles during …
Parameter Estimation Of A 100 Seater Simulated Passenger Aircraft,
2025
West Virginia University
Parameter Estimation Of A 100 Seater Simulated Passenger Aircraft, Michael James Winston
Graduate Theses, Dissertations, and Problem Reports (ETD)
Virtual flight test aircraft provide good opportunities to test new parameter estimation methods. However, good estimates for the parameters in VIRTTAC Castor, a virtual test aircraft, are unavailable. This thesis uses two well-established time domain methods, the Output Error Method and the Filter Error Method, to estimate the parameters of VIRTTAC Castor. Three standard maneuvers were used: Elevator 3-2-1-1, Rudder Doublet, and Aileron Multi-Step. The parameters were estimated across three different flight conditions: weight, altitude and air speed, which resulted in 27 tests for each maneuver. All parameters, and standard deviations estimated are included in the appendix as a table.
