Aerospace Engineering Commons^™

What Types Of Uncertainty Emerge In Instructional Aviation Incidents?, Abigail Henson

Mechanical Engineering Undergraduate Honors Theses

This study utilized narrative reports from the National Aeronautics and Space Administration (NASA) Aviation Safety Reporting System (ASRS) database to examine the types of uncertainty present in near-miss instructional aviation incidents occurring within the United States between 2015 and 2025. The final dataset consisted of 86 reports, with each report containing a set of narrative accounts from both the student pilot and the flight instructor operating under Part 91 regulations. Each instructional event was classified using a combined framework incorporating uncertainty categorizations and the Human Factors Analysis and Classification System (HFACS). Results indicate that epistemological uncertainty was the most common …

Cascaded Pid Control Of A Passive Bio-Inspired Rotating Empennage Aircraft, Zachary T. Jenkins

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis presents an autopilot for a Bio-Inspired Rotating Empennage (BIRE) aircraft. Most airplanes control yaw using a vertical stabilizer and a moving rudder, a design that has stayed essentially unchanged for nearly a century but adds weight, drag, and surface area to the aircraft. The BIRE removes the vertical tail entirely and instead allows the horizontal tail to rotate about the body x-axis of the airplane; tilting the horizontal tail produces a yaw force, doing the job of a rudder. This thesis first develops a controller for the BIRE where the empennage angle is commanded directly, then extends …

Flight System Development For A Bio-Inspired Rotating Empennage Experimental Unmanned Aerial Vehicle, Ashton Gilbert

All Graduate Theses and Dissertations, Fall 2023 to Present

Unmanned aerial systems, commonly known as drones, are increasingly used for research, environmental monitoring, and testing new aircraft concepts. Many commercially available drone flight controllers work well for standard aircraft designs, but they can be difficult to adapt for experimental vehicles that use unconventional control methods or require detailed monitoring during testing. This creates challenges for researchers who need flexible and reliable tools to safely evaluate new flight technologies. This work presents the development of a custom drone flight control system designed specifically for experimental research. The system integrates custom electronics and software that allow researchers to easily modify control …

A Data-Driven Koopman Framework For Station-Keeping On Near Rectilinear Halo Orbit, Anusha Sharma Malladi

Theses and Dissertations

Cislunar missions have gained significant attention in recent decades, motivating the need for efficient modeling and reliable control. In this work a Koopman operator based framework is developed for approximating the error dynamics around a reference Near Rectilinear Halo Orbit (NRHO) in the Earth-Moon Circular Restricted Three-Body Problem (CR3BP). A decoder free neural network is used to learn a lifted linear representation of the nonlinear CR3BP dynamics and a residual based approach is used to identify the corresponding control input matrix. The model is then implemented in a receding-horizon target point controller and compared with uncontrolled propagation and a State …

Developing Imitation Learning Policies By Exploring Diffusion Framework For Quadcopters, Likith Swamireddy

Theses and Dissertations

Imitation learning offers a promising approach in developing near-optimal onboard policies for nonlinear systems, by learning from computationally expensive trajectory planners during offline training. Existing State-of-the-art methods commonly learn deterministic mappings from observations to actions by training fast neural networks to mimic the expert demonstrations, which can limit their ability to capture the action distribution, when the policy is trained on multiple possible expert commands to reach the same target, and this may lead to unsafe scenarios in the obstacle environments. To address these challenges, this study explores Diffusion Models (DMs) as a feedback controller for quadcopters that learns the …

Crushing Behavior Of Crash Boxes With Hybrid Honeycomb–Auxetic Fillers: Effects Of Architecture, Geometry, And Material Behaviors, A. Yudhanto, A. Jusuf, L. D. Lumanauw, M. Falyanzhuri, A. Afdhal

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Additively manufactured (AM) fillers provide new opportunities to tailor the crushing response and energy absorption of thin-walled metallic crash boxes. This study presents a combined experimental–numerical investigation of hexagonal AA6063-T4 crash boxes filled with architected structures, i.e., honeycomb, auxetic-reentrant, and hybrid honeycomb–auxetic topology. The hybrid configuration, which integrates cells with positive and negative Poisson's ratios, triggers coordinated mechanisms (that enhance folding behavior and collapse control) unattainable via single topology. Quasi-static axial compression tests were conducted to characterize force–displacement curves, deformation mechanisms, energy absorption (EA), and specific energy absorption (SEA). Finite element models developed in the explicit solver LS-DYNA were employed …

A Macroergonomic Analysis Of Autonomous Robotic Construction For Affordable Housing, Ricardo Leon Jimenez

Sustainability Conference

As communities seek to increase housing supply, the construction sector continues to grapple with rising costs, skilled labor shortages, and growing pressure to improve environmental sustainability. Meeting these demands will require new approaches that increase productivity while lowering environmental impact throughout the building lifecycle. Recent advances in autonomous systems developed for space exploration offer alternative ways to design, assemble, and maintain residential buildings. This study examines the potential application of NASA's Automated Reconfigurable Mission Adaptive Digital Assembly Systems (ARMADAS) technology from space construction to terrestrial affordable housing construction.

While most construction automation research focuses on technical performance, this study considers …

Forging “The Backbone Of The Blue Sky”: Pathways For Enhancing Independent Innovation Capability Of China’S Commercial Aircraft Industry, Qianshu Shi, Chao Zhang, Quan Cheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Advancing indigenous innovation in China’s commercial aircraft industry is essential for strengthening the country’s high-end equipment manufacturing capabilities and enhancing the technological self-reliance of its aviation sector. China has achieved notable progress in key technological breakthroughs, industrial system development, and commercial operational validation. Nevertheless, gaps remain between China and the world’s leading aviation powers, owing primarily to an insufficient supply of original advances from fundamental research, underdeveloped mechanisms linking collaborative innovation activities, limited capacity for the independent iteration of core systems, and inadequate accumulation of lifecycle data. Strengthening fundamental aeronautical research is therefore critical to overcoming these constraints. Drawing on …

Breaking Through Bottleneck In Overseas Expansion Of China’S Commercial Aircraft: Pathways For Business Model Innovation, Mengru Dong, Chaofeng Huang, Chao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The overseas expansion of China’s commercial aircraft is a strategic choice for building manufacturing power, transportation power, and aviation powerhouse. Business model innovation serves as a crucial means to enable these aircraft to overcome international competition barriers and accelerate their overseas expansion. Based on the analysis of the urgency of the overseas expansion of China’s commercial aircraft and the necessity of business model innovation, this study systematically reviews the main business models for the overseas expansion of global commercial aircraft, including the complete aircraft sales model, the collaborative operation model, and the full life cycle service model. Furthermore, based on …

Current Status, Challenges, And Countermeasures For Airworthiness Certification Of China’S Large Homegrown Aircraft, Liming Ge, Mingda Yang, Zixuan Liu, Yichen Wang, Jing Deng

Bulletin of Chinese Academy of Sciences (Chinese Version)

The airworthiness certification of domestically produced large aircraft serves as both a crucial foundation for achieving self-reliance and independent control over China’s aviation industry chain and a key support for deep participation in the governance of global civil aviation rules. Currently, the airworthiness certification system has taken initial shape, localized infrastructure networks are gradually improving, and the benefits of a super-large market are continuously being realized, effectively facilitating the successful large-scale commercial operation of the C919 airplane. The development of domestic large aircraft families places greater demands on certification resource coordination and airworthiness management throughout the aircraft life cycle. However, …

International Experiences, Lessons, And Implications For Development Of Commercial Aircraft Industry, Chaofeng Huang, Cuilin Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The commercial aircraft industry serves as a cornerstone for building a strong aviation country, a new engine driving economic growth, and a core carrier for upgrading the aviation industrial structure. Over more than 70 years of global industrial evolution, commercial aircraft development programs in most countries have encountered bottlenecks and withdrawn from the market, resulting in a duopoly dominated by the United States and Europe, which has accumulated abundant practical experience and historical lessons. At present, China’s commercial aircraft industry has entered a new phase of large‑scale production and international expansion. Nevertheless, it still faces challenges including bottlenecks in key …

Estimation Of Unmeasurable External Disturbances Of A Dynamic Object Based On A Robust Adaptive Kalman Filter, Bunyod Mamurjon Ugli Buronov

Technical science and innovation

This article considers the problem of directly estimating unmeasurable external disturbances acting on a dynamic object under the condition that the state vector of the object is available for measurement. In the considered case, the problem is reduced to the estimation of an unknown input of a dynamic system. It is shown that when the system state is measurable, both a direct inversion scheme based on the object’s dynamic equation and filtering methods that eliminate the need for coarse numerical differentiation can be applied. For slowly varying disturbances, a random walk model with a small process noise covariance is proposed, …

Satellite-Based Detection And Preliminary Flux Estimation Of The 2024 Boysun Methane Blowout Event In Uzbekistan, Shomurod Bakhtiyor Ugli Turaev, Dilbar Shamurodovna Fazilova, Aziz Nigmanovich Kazakov

Technical science and innovation

Estimating accidental methane emissions from gas fields remains a difficult task, especially in remote mountainous areas where continuous ground-based observations are not available. This study examines the uncontrolled gas blowout that occurred in 2024 at the “Mustaqillikning 25-yilligi” gas-condensate field in Boysun district, Uzbekistan. Changes in methane content were analyzed using Sentinel-5P TROPOMI data for August–November 2024, processed in Google Earth Engine (GEE). The location of the accident site was refined using Sentinel-2 optical imagery, while ERA5 wind speed and direction data were applied for the preliminary calculation of methane flux. Based on the XCH₄ time series, four stages of …

Analysis And Optimization Of Intelligent Control Of The Drying Process Under Uncertainty, Azizbek Nodirbekovich Yusupbekov, Marufjon Kobuljonovich Shodiev, Khusniddin Mamarasul Ugli Esonov

Technical science and innovation

This section proposes a multi-criteria Pareto-optimization algorithm, integrated with Herbert Simon's four-stage decision-making scheme (Intelligence–Design–Choice–Implementation) and an ANFIS-based adaptive controller, for simultaneously optimizing the mutually conflicting quality, energy, and time criteria of the wheat-drying process. The algorithm for constructing the set of Pareto-optimal solutions and selecting the compromise solution closest to the ideal point is presented step by step. The implementation of the ANFIS controller in the MATLAB/Simulink environment is comprehensively verified through a simulation block diagram, the Rule Viewer, the Surface Viewer, the training error-function graph, the RMSE convergence graph, and a learning-curve analysis. Training was carried out on …

Evaluation Of The Metrological Characteristics Of An Ultrasonic Flowmeter For Water Resources, Makhsud Idrisovich Makhmudov, Uktam Farkhodovich Mamirov, Siroj Sobirovich Nurov

Technical science and innovation

This paper presents the results of evaluating the metrological characteristics of a developed ultrasonic flowmeter intended for measuring water flow in open channels. The study analyzes the main sources of measurement errors and classifies them into methodological, instrumental, additional, systematic, and random components. Experimental investigations were carried out to estimate the random and systematic errors under steady-state flow conditions. Using the least-squares method, the systematic error was separated into additive and multiplicative components, providing a basis for calibration and correction of the measurement results. The reliability of the developed measuring instrument was evaluated using the failure rate method based on …

Development Of An Experimental Stand For The Study Of The Directions Of Movement And Velocity Of Air Flows In The Pneumatic Channel Of The Final Aspiration Of The Muz-16 Air Sieve Separator, Hanna Borisovna Torgan, Zulfiya Kakhramonovna Ergasheva

Technical science and innovation

The article presents the results of experimental studies on the rheological properties of pasta dough obtained from various types of wheat flour (bakery highest grade, as well as durum varieties of Belarusian selection). The regularities of changes in the yield shear stress, plastic viscosity, and shear rate of the semi-finished product were studied depending on the key technological factors of extrusion: moisture content (0.28–0.335 kg/kg), temperature (25–55 °C), and discharge pressure (up to 88 · 10^-5 Pa). The operating principle and design features of the modernized pressing unit and die using special converging-diverging (confuser-diffuser) inserts (according to the patents …

Research On The Effectiveness Of Various Methods For Primary Processing Of Silkworm Cocoons, Doston Ishmukhammat Ugli Samandarov

Technical science and innovation

This article presents the results of experimental studies of the primary processing (killing) of silkworm pupae using existing technological methods, as well as three different combinations of infrared (IR) and ultrasound (US). A series of pilot studies was conducted in the laboratory of the Department of Service Technology at Tashkent State Technical University on nine cocoon samples using existing technological equipment and an experimental setup developed under project AL-8724053050 and based on the combined effects of infrared radiation and ultrasound. A comparative evaluation of the studied processing methods was conducted based on the degree of pupal killing, moth hatching, process …

Mathematical Modelling Of Nitrification And Denitrification Processes Based On Neuro-Fuzzy Bioreactor Models, Mirkhalil Agzamovich Ismailov, Boburbek Zokirjon Ugli Mannobjonov

Technical science and innovation

This paper presents the development and investigation of hybrid neural network and fuzzy models for the mathematical modelling of nitrification and denitrification processes in a biological wastewater treatment bioreactor. A comprehensive approach is proposed, integrating a mechanistic model of the ASM1/ASM2d type with neural networks (LSTM and Gaussian Process Regression), as well as a fuzzy control system based on an extended set of expert rules. A digital twin of the bioreactor was developed to allow for the prediction of the dynamic behavior of key parameters such as NH₄⁺, NO₃⁻, dissolved oxygen, etc. within a prediction range of 1 to 12 …

Evaluation Of Level Measurement Uncertainty For Three Types Of Laser Level Meters Using The Gum Methodology: Calculated Uncertainty Budgets, Uncertainty Profile, And Hardware Component Requirements, Lazizbek Furkatjanovich Saidoripov, Barat Makhmudovich Akhmedov

Technical science and innovation

A methodology is presented for evaluating the uncertainty of liquid petroleum product level measurements using laser level meters based on different measurands’ informative parameters: propagation time, phase difference, and image coordinates. Based on analytical expressions for error components and a traceability chain to the national length standard, calculated uncertainty budgets are developed in accordance with JCGM 100 for time-of-flight, phase-based, and laser–television level meters. Under the assumed input conditions, the expanded uncertainties (k = 2) are 1.66, 0.73, and 1.02 mm, respectively. For the laser–television level meter budget, the Gaussian approximation is verified using the Monte Carlo method (JCGM 101): …

Data From: Physics-Data-Hybrid Modeling And Control For Vtol Aircraft, Samantha Dawn Burton

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The skeleton code corresponding to many of the results from the dissertation "Physics-Data-Hybrid Modeling and Control for VTOL Aircraft" By Samantha Dawn Burton.