Aerospace Engineering Commons^™

Forecast-Aware Formation Initialization For High-Revisit Vleo Imaging, Mina Khalilzadeh Fathi, Zachary Wrensch, Chaoying Pei

Small Satellite Conference

Very-low Earth orbit (≲ 300 km) enables high-resolution imaging with smaller optics. A leader/follower pair can halve the revisit gap by maintaining precise along-track phasing. 

At 250 km, even a small ballistic-coefficient mismatch amplified by geomagnetic storms drives a phasing error that grows quadratically in time and closes the imaging window within days. 

• Conventional methods focus on formation keeping and react to density after the fact. 
• We act before the drift grows: a density forecast is used to choose both the handover phase and the optimal time to reverse the drift. 

F Prime To Flight Faster: Hardware-In-The-Loop Continuous Integration For Accelerated Cubesat Development, Nate Gay, Saidi Adams, Michael Pham

Small Satellite Conference

Flight software teams iterate quickly in development and then slow down at integration, because the software must be validated against real hardware that is itself still changing. 

Bench testing is manual, intermittent, and happens late. Defects surface days after the commit that caused them, once the context is gone and the change has been built on.

Promoting Assured Formation Flight Autonomy Onboard Resource Constrained Systems, Ryan Johnson, Maggie Michelsen, Jackson Gardner, Mario Harper, Charles Swenson, Jackson Kulik, Shawn Jones

Small Satellite Conference

Autonomously determining fuel-optimal, formation-keeping trajectories for small spacecraft operating in formation flight is often limited by available processing power. Because SmallSat missions are constrained by size, weight, and power (SWaP), field-programmable gate arrays (FPGAs) are an attractive option for onboard computing. Traditional formation-keeping relies on convex optimization to solve for fuel-optimal burns and burn times; however, implementing these solvers on FPGAs is challenging due to limited board resources.

To address the need for fast, reliable trajectory planning onboard space vehicles, we investigate leveraging machine learning to reduce computational cost for real-time, onboard execution. We propose using a deep neural network …

Propellant-Free Formation Keeping Using Environmental Perturbations In Leo Via Orbital Angular Momentum Vector Matching, Yu Seike, Takaya Inamori, Keita Tanaka

Small Satellite Conference

Small-satellite formation flying enables new mission capabilities.

e.g. MIMO (Multi Input Multi Output) Communication

Challenge: Conventional formation keeping requires thrusters. Small satellites have limited onboard resources.

Plasma Magnet Propulsion For Smallsat Deep Space Missions: Scaling Laws, Trajectory Analysis, And A Path To Flight Demonstration, Surya S. Kalluri

Small Satellite Conference

The plasma magnet uses a rotating magnetic field (RMF) to drive azimuthal currents in ambient plasma, inflating a spacecraft dipole to kilometre scale so momentum is taken directly from the solar wind. Using plasma currents in place of physical coil proposed for similar concepts previously like Magnetosail, M2P2 etc., eliminates the constraints on size and dynamic pressure of seed plasma. Because the inflated plasma — not a structure — sets the obstacle size, thrust is independent of distance from sun while the required power falls as the antenna grows. Earlier experiments showed >10 kA driven currents, inflation beyond ten coil …

Bcon-2 Operations And Pre-Flight Testing, Kenny Blanton, Brayden Kuchenbacker, Dan White

Small Satellite Conference

As part of the Dream Big Phase I mission, Valpo Space Program’s (VSP) satellite BCON-2 is a 0.5U ThinSat CubeSat designed by NearSpace Launch (NSL).

Dimensions: 0.5U ThinSat (10 cm × 10 cm × 5 cm).

• Comms/MCU Board: STM-32 based PocketQube satellite board that utilizes an AX5043 transceiver to manage VHF/UHF radio communications and subsystem connectivity via CAN bus.
• ADCS Payload: Collaborative flight of the University of Luxembourg’s (UniLu) Space Systems Engineering (SpaSys) system; features their PCB-embedded tri-axial magnetorquer coils Attitude Determination and Control System (ADCS).
• Square Koch Fractal Antenna: The RF systems remain inactive for this mission due to …

Novel Uncrewed Aircraft Water Sampling Device, Justin Fratto, Avinash Muthu Krishnan, Kayla D. Taylor, David Zink, Marc Compere, Kevin Adkins

Discovery Day - Daytona Beach

Supported by the Environmental Protection Agency (EPA), this project’s objective is to create a novel simultaneous surface and discrete depth water sampler for use with an uncrewed aircraft, something which has not been done before. The device will be used to improve the spatiotemporal resolution of harmful algal bloom (HAB) monitoring on Lake Okeechobee in South Florida to provide timely and precise information on water quality and HABs. HABs are characterized by the EPA as certain species of algae that can produce harmful toxins and produce excessive blooms or growth in certain conditions. Often occurring in warmer months due to …

Developing Field And Spaceflight Microscopy, Nikki Johnston

Dissertations and Theses

Designing for spaceflight favors the reduction of unnecessary features and cost-cutting, whether thisbe computation, hardware, or procedure. Resources are spent toward fortification and mission success over convenience. Such design goals paired with the relatively smaller budgets of academia lead us to do as much as we can in-house and use open-source as much as we can without compromising mission success. We also believe that thoroughly testing technology in extreme environments on earth is necessary for the success of a flight instrument. We focus on microscopy for life detection. I have spent my time here learning methods of hand-building microscopes to …

Advancing The Oresat Adcs: Design & Implementation Of An Open-Source Reaction Wheel System, Chris Kane-Pardy

Dissertations and Theses

Reaction wheels provide the primary means of precision attitude control for many CubeSat attitude determination and control systems by exchanging angular momentum with the spacecraft body. As the Portland State Aerospace Society's OreSat spacecraft transitioned from a 2U to a 3U configuration, the increased spacecraft inertia reduced the attitude control authority available from the legacy reaction wheel system. This thesis addresses that challenge through the redesign of the reaction wheel system and the development of a deterministic embedded controller and experimental framework for evaluating brushless motor commutation strategies under identical operating conditions.

The redesigned system combines an analytically sized flywheel, …

Flight Testing And System Identification Of An Experimental Cessna 182, Mariano Chavez Rangel

Discovery Day - Daytona Beach

Flight testing and system identification are essential for accurately characterizing aircraft dynamics and supporting the development of reliable flight control systems. This work presents the use of an experimental Cessna 182 as a full-scale platform for flight testing and system identification, conducted by the Eagle Flight Research Center. The objective is to generate high-fidelity flight data to estimate aerodynamic and dynamic coefficients and establish a baseline model for comparison with a sub-scale aircraft incorporating Integrated High-Lift Propulsor (IHLP) technology. The experimental aircraft is equipped with a comprehensive onboard instrumentation suite designed to capture synchronized measurements of air data, aircraft motion, …

Advancing Vtol Tail-Sitter Stability Through Modern Flight Control And System Identification, Tobey Cram, Jacob House, Alexander Theophanis

Discovery Day - Daytona Beach

Title: Advancing VTOL Tail-Sitter Stability Through Modern Flight Control and System Identification   The concept of tail-sitter aircraft can be traced back to Nikola Tesla nearly 100 years ago; however, no aircraft with this novel design materialized until nearly 20 years later during World War II, when efforts were made to reduce reliance on runways. One notable design that emerged during the Cold War was the Convair XFY-1 Pogo. This design failed for reasons common to many others of the time: pilots had extreme difficulty landing while looking over their shoulders, and the technology of the era could not reliably maintain …

Data-Driven Learning Algorithms To Predict Spacecraft Trajectories In The Dro Family, Sarath Murarisetty, Hansaka Aluvihare Aluvihare, Oshani Jayawardane, Annika Anderson

Discovery Day - Daytona Beach

Generating precise, accurate, and efficient trajectories in the Earth-Moon circular restricted three-body problem (CR3BP) is crucial for long-term lunar missions, yet it remains challenging. A primary reason for this is that the CR3BP is an extremely nonlinear and chaotic system. Fortunately, neural networks present a promising approach for addressing such complex nonlinear challenges. In “Data-driven Learning Algorithms to Predict Spacecraft Trajectories in the DRO Family,” this work addresses the challenge of solving a nonlinear system within the CR3BP framework to determine the trajectories of spacecraft within the Distant Retrograde Orbit (DRO) family using neural networks (NNs). For a comprehensive comparison …

Adaptive Health Monitoring For Runtime Safety Assurance​ Of Advanced Air Mobility Applications, Michael Budihartono, Francisco Bustamante, Gabriela Gavilanez

Discovery Day - Daytona Beach

This work proposes a comprehensive, adaptive framework for abnormal condition detection and flight envelope prediction in complex systems. The approach integrates data reduction techniques, including principal component analysis and lower-dimensional projections, to efficiently distinguish between nominal and abnormal operational states while maintaining computational efficiency through metacognitive interventions. A hybrid detection architecture combines bio-inspired real-value negative selection algorithms with support vector machines, augmented by generative machine learning models to synthesize failure data and support training through digital twin environments. Online fault trend analysis enables continuous monitoring of system degradation, while the system dynamically adapts to operational variations by minimizing offline training …

Crowd Monitoring And Firearm Detection Uas, Arjun Nambiar, Sang-A Lee, Diego Espino, Will Obot Jr, Ethan Encarnacion, Jarrett Usui, Jacob D. Kline

Discovery Day - Daytona Beach

The increasing complexity of public safety operations in urban and high-density environments necessitates intelligent, mobile surveillance systems capable of real-time threat identification and situational awareness. Traditional monitoring approaches, such as fixed CCTV systems and manual observation, are often limited by coverage, scalability, and response latency in complex environments or large-scale events. This project addresses these challenges through the development of a computer vision-enabled Uncrewed Aerial System (UAS) designed for crowd monitoring and firearm detection. The primary objective is to design and validate a modular, Artificial Intelligence (AI)-Machine Learning (ML)-driven model capable of identifying firearms within dynamic environments while supporting real-time …

Investigation Of Bio-Inspired Design Tools In Satellites, Spoorti Nanjamma

Discovery Day - Daytona Beach

This study investigates the application of Biologically Inspired Design (BID) tools within student-led satellite design teams, with the goal of enhancing early-stage systems engineering practices. As CubeSat missions become increasingly complex and resource-constrained, there is a need for approaches that support innovative yet structured problem-solving. While BID has shown promise in other engineering domains, its practical integration into satellite design, remains limited. To address this gap, three interactive workshops were developed and implemented with a Embry-Riddle Aeronautical university CubeSat team – Project COMET. The first workshop focused on functional decomposition, guiding students to express subsystem behavior in verb–noun form and …

Model-Based Systems Engineering Test Case Development And Traceability For Cubesats, Spoorti Nanjamma, Abigail Butcher

Discovery Day - Daytona Beach

Model-Based Systems Engineering (MBSE) using CATIA Magic Systems of Systems Architect (formerly known as CAMEO) is applied to develop a structured and traceable approach to test case modeling for CubeSat missions. The effort focuses on supporting unit-, subsystem-, and system-level testing by explicitly linking system requirements to corresponding test cases within the model, ensuring clear traceability across all verification levels. Each test case is organized within a dedicated package that includes a Block Definition Diagram (BDD) and Internal Block Diagram (IBD) to represent the complete test configuration, capturing all relevant components, subsystem boundaries, and interface connections involved in the test …

Atmospheric Gas Dynamics Of Mars: A Multi-Sensor Remote Sensing Approach For Fine Vertical, Global, And Event-Driven Analysis, Frányerson R. López Ochoa

Discovery Day - Daytona Beach

To provide precise vertical resolution and worldwide coverage across all seasons and altitudes, this study integrated nadir, limb, occultation, and general circulation model (GCM) measurements in a thorough remote sensing examination of the Martian atmosphere. The study examined the density and temperature structures of major atmospheric gases, mainly carbon dioxide (CO₂), molecular nitrogen (N₂), and argon (Ar), using mission datasets from the Mars Reconnaissance Orbiter (MRO), Mars Express (MEX), and the ExoMars Trace Gas Orbiter (TGO). It also assessed retrieval uncertainties resulting from dust, ice clouds, and sensor limitations. The study concluded that, though valuable, single-geometry observation techniques are unable …

Optimization Of Co₂ Removal In Carbon Dioxide Removal Assembly (Cdra) Using Nonlinear Equilibrium Modeling And Zeolite-Based Adsorption Simulation, Frányerson R. López Ochoa

Discovery Day - Daytona Beach

This study follows a quantitative, non-experimental, existing-data design to examine the optimization of carbon dioxide removal in spacecraft’s Carbon Dioxide Removal Assembly (CDRA) through the integration of nonlinear isotherm modeling and process-level cycle simulation. Existing carbon dioxide adsorption equilibrium data from multiple zeolite sorbents, including Grace Davison Grade (544 13X, 522 5A, and 514 4A), Honeywell UOP (APG-III, LiLSX VSA-10), and BASF 13X, is analyzed to determine which adsorption models best represent carbon dioxide loading behavior and how these models can be used to reduce energy consumption in spacecraft regeneration processes. The study fitted eight nonlinear isotherm models – Langmuir, …

Enhancing Fibre–Matrix Interface Properties In Cfrps Using Cohesive Zone Modelling, Arjun Myadam, Alexander Skoppe

Discovery Day - Daytona Beach

Carbon fibre reinforced polymers (CFRPs) are extensively used in aerospace, automotive, and structural applications owing to their high specific strength, stiffness, and design flexibility. The mechanical performance of these composites is critically governed by the fibre–matrix interface, which controls stress transfer and directly influences damage initiation, crack propagation, and fracture behaviour. The interface strength is quantified through the interfacial shear strength (IFSS) and fracture energy, both serving as key indicators of composite integrity. Nanoscale fibre surface modifications are widely employed to enhance interfacial bonding and can also impart multifunctionality, such as capacitive properties, magnetic behaviour, and piezoelectricity. For instance, nanoscale …

N31 Multi-Sensor Data Fusion For Enhanced Cislunar Space Domain Awareness Using Radar And Optical Observations, Lucas Bottero

Discovery Day - Daytona Beach

MULTI-SENSOR DATA FUSION FOR ENHANCED CISLUNAR SPACE DOMAIN AWARENESS USING RADAR AND OPTICAL OBSERVATIONS   As operations extend into cislunar space, maintaining Space Domain Awareness (SDA) becomes increasingly challenging due to the vast distances, sparse infrastructure, and complex gravitational dynamics between Earth and the Moon. Radar and optical sensors are the primary modalities used for space surveillance, each with its strengths and limitations. Radar offers continuous observation capabilities regardless of lighting conditions but is limited by power and range at cislunar distances. Optical sensors provide high angular precision but depend on favorable illumination and line-of-sight geometry. However, there has been limited …