Using Motion Capture And Augmented Reality To Test Aar With Boom Occlusion,
2021
Air Force Institute of Technology
Using Motion Capture And Augmented Reality To Test Aar With Boom Occlusion, Vincent J. Bownes
Theses and Dissertations
The operational capability of drones is limited by their inability to perform aerial refueling. This can be overcome by automating the process with a computer vision solution. Previous work has demonstrated the feasibility of automated aerial refueling (AAR) in simulation. To progress this technique to the real world, this thesis conducts experiments using real images of a physical aircraft replica and a motion capture system for truth data. It also compares the error between the real and virtual experiments to validate the fidelity of the simulation. Results indicate that the current technique is effective on real images and that the …
A Feedback-Based Pneumatic Compression System For Effective Lymphedema Management,
2021
Louisiana State University
A Feedback-Based Pneumatic Compression System For Effective Lymphedema Management, Mohammad Imrul Kayes
LSU Master's Theses
Bioimpedance analysis (BIA) is a method of detecting lymphedema- a debilitating medical condition involving swelling of the extremities. Pneumatic compression devices are frequently used in the compression treatment of lymphedema. Although existing compression technology provides relief of symptoms, it has limitations in terms of ease-of-use, portability, and monitoring of treatment progress. Currently, there are no BIA analyzers in the market that run on a low-power microcontroller and a rechargeable battery. Moreover, no such device currently exists that integrate the BIA analysis with pneumatic compression system to offer a feedback-based solution for lymphedema treatment. This work represents the first steps towards …
Generalized Composite Noncertainty-Equivalence Adaptive Control Of A Prototypical Wing Section With Torsional Nonlinearity,
2021
Catholic Kwandong University
Generalized Composite Noncertainty-Equivalence Adaptive Control Of A Prototypical Wing Section With Torsional Nonlinearity, Keum W. Lee, Sahjendra N. Singh
Electrical & Computer Engineering Faculty Research
© 2021, The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature. The paper presents a generalized composite noncertainty-equivalence adaptive control system for the control of a prototypical aeroelastic wing section using a single trailing-edge control surface. The plunge–pitch (two-degree-of-freedom) dynamics of this aeroelastic system include torsional pitch-axis nonlinearity. The open-loop system exhibits limit cycle oscillations beyond a critical free-stream velocity. It is assumed that parameters of the model are not known. The objective is to suppress the oscillatory responses of the system. Based on the immersion and invariance approach, a generalized composite noncertainty-equivalence adaptive (NCEA) control …
Optimal Nonlinear Pid Speed Control Based On Harmony Search For An Electric Vehicle,
2021
Future University in Egypt
Optimal Nonlinear Pid Speed Control Based On Harmony Search For An Electric Vehicle, Mohamed Shamseldin, Mohamed Abdel Ghany, Yahia Hendawey
Future Engineering Journal
the paper presents an efficient scheme for a Nonlinear PID (NPID) controller to improve the dynamic response of the Electric Vehicle (EV). The objective of the proposed controller is to track accurately the reference speed selected by the driver of the EV. A MATLAB/Simulink model is established and validated for the considered EV to study the system performance. The proposed NPID controller has been investigated by comparing it with the traditional PID controller. The optimal parameters of Both the NPID and PID controllers were obtained using the Harmony Search (HS) optimization technique based on a cost function. The desired rise …
Hamiltonian-Based Libration Point Orbit Control On Manifold Of Constant Energy,
2021
Catholic Kwandong University
Hamiltonian-Based Libration Point Orbit Control On Manifold Of Constant Energy, Keum W. Lee, Sahjendra N. Singh
Electrical & Computer Engineering Faculty Research
© 2021, Springer Nature Switzerland AG. The circular restricted three-body problem (CR3BP) is important from the theoretical as well as a practical viewpoint. In this paper, the objective is to control a spacecraft along stable or unstable libration point orbits. For this purpose, a manifold of constant energy is specified. Then, a Hamiltonian-based state variable feedback control law is designed for regulating the spacecraft to attain the specified level of energy. Through the Lyapunov analysis, asymptotic convergence of the system energy to prescribed level is established. For this multi-dimensional constant energy manifold, a variety of periodic and quasi-periodic libration point …
Implementation Of Model-Free Adaptive Power Flow Control For Dual-Active-Bridge-Based Ac-Dc Converters,
2021
Minnesota State University, Mankato
Implementation Of Model-Free Adaptive Power Flow Control For Dual-Active-Bridge-Based Ac-Dc Converters, Qinghang Shen
All Graduate Theses, Dissertations, and Other Capstone Projects
With the rising energy consumption and environment destruction problems worldwide, the development of renewable energy and energy recapture methods to improve the energy utilization rate has become more important as two of the most efficient processes to solve those problems. Bidirectional AC/DC converter and its modulation strategies are widely used as the essential part of implementing bidirectional power conversion between power grid and energy storage systems. To improve the efficiency and accuracy of the power conversion within AC/DC converters, a stable, robust power flow control system with quick response and disturbance rejection ability is desired. This thesis proposes a model-free …
Resilience For Multi-Filter All-Source Navigation Framework With Integrity,
2021
Air Force Institute of Technology
Resilience For Multi-Filter All-Source Navigation Framework With Integrity, Jonathon S. Gipson, Robert C. Leishman
Faculty Publications
The Autonomous and Resilient Management of All-source Sensors (ARMAS) framework monitors residual-space test statistics across unique sensor-exclusion banks of filters, (known as subfilters) to provide a resilient, fault-resistant all-source navigation architecture with assurance. A critical assumption of this architecture, demonstrated in this paper, is fully overlapping state observability across all subfilters. All-source sensors, particularly those that only provide partial state information (altimeters, TDoA, AOB, etc.) do not intrinsically meet this requirement.
This paper presents a novel method to monitor real-time overlapping position state observability and introduces an "observability bank" within the ARMAS framework, known as Stable Observability Monitoring (SOM). SOM …
A Geometric Description Of The Set Of Stabilizing Pid Controllers,
2021
Southern Illinois University Edwardsville
A Geometric Description Of The Set Of Stabilizing Pid Controllers, Keqin Gu, Qian Ma, Huiqing Zhou, Mahzoon Salma, Xingzi Yang
SIUE Faculty Research, Scholarship, and Creative Activity
This article developed a new method to described the set of stabilizing PID control. The method is based on D-parameterization with natural description of the set. It was found that the stability crossing surface is a ruled surface that is completely determined by a curve known as discriminant. The discriminant is divided into sectors at the cusps. Corresponding to the sectors, the stability crossing surface is divided into positive and negative patches. A systematic study is conducted to identify the regions with a fixed number of right half-plane characteristic roots. The crossing directions of characteristic roots for positive patches and …
Electromagnetic Formation Control Using Frequency Multiplexing,
2021
University of Kentucky
Electromagnetic Formation Control Using Frequency Multiplexing, Zahra Abbasi
Theses and Dissertations--Mechanical and Aerospace Engineering
This dissertation addresses control of relative positions and orientations of formation flying satellites using magnetic interactions. Electromagnetic formation flight (EMFF) is implemented, in which each satellite is equipped with a set of electromagnetic coils to generate an electromagnetic field. Traditional EMFF technique applies DC magnetic fields which lead to a nonlinear and highly coupled formation dynamics that allow for only position or orientation control of the satellites. We present a new frequency multiplexing method, which is a technique that uses multi-frequency sinusoidal controls, to approximately decouple the formation dynamics and to provide enough controls for both position and orientation control. …
Analysis Of Three-Phase Rectifier Via Three Different Control Methods And Switch Power Loss Comparison,
2021
Minnesota State University, Mankato
Analysis Of Three-Phase Rectifier Via Three Different Control Methods And Switch Power Loss Comparison, Yichao Wang
All Graduate Theses, Dissertations, and Other Capstone Projects
Traditional uncontrolled or phase-controlled rectifiers have the defects of lower power factor and nontrivial higher harmonics which causes the low efficiency of power, bad power quality, and so on. However, PWM rectifiers overcome the drawbacks mentioned above. They reduce the higher harmonics yielding better sinusoidal current on the grid side, achieve unity power factor and bidirectional power flow, and have better dynamic performance. So, it is favored more by academia and widely applied in high-performance power electronics devices. In this paper, the PWM rectifier is analyzed and a comparison of the switch loss on three-phase rectifier using three different control …
Integration Of Robotic And Electro-Pneumatic Systems Using Advanced Control And Communication Schemes,
2021
Michigan Technological University
Integration Of Robotic And Electro-Pneumatic Systems Using Advanced Control And Communication Schemes, Chinmay Kondekar
Dissertations, Master's Theses and Master's Reports
Modern industrial automation systems are designed by interconnecting various subsystems which work together to perform a process. The thesis project aims to integrate fragmented subsystems into a flexible and reconfigurable system through advanced communication protocols and perform a process to demonstrate the effectiveness of interconnected systems.
The system consists of three six-axis robots, one electro-pneumatic robot, and two conveyors connected using EthernetIP communication and hardwired connections. The interconnected system works together to perform machining of a workpiece using advanced control methods of CAD to robot path generation, central control through a PLC, and process control through HMI.
Standardized programming blocks …
Nonlinear Model Predictive Control Of Wave Energy Converter,
2021
Michigan Technological University
Nonlinear Model Predictive Control Of Wave Energy Converter, Isha Malekar
Dissertations, Master's Theses and Master's Reports
In this report model predictive control (MPC) is applied to a simulated, spherical, point absorber wave energy converter to maximize energy extraction. Constraints are applied to the buoy's displacement and the power take-off (PTO) generator force. The WEC's "truth” model uses nonlinear Froude-Krylov (FK) hydrostatic and hydrodynamic forces. This is in contrast with previous studies where linear approximations are used in the form of a hydrostatic stiffness force and a wave excitation force. The nonlinear forces become significant when the vertical displacement of the buoy exceeds about 40% of the buoy's radius. Two versions of MPC are compared where optimal …
Implementation Of Fuzzy Logic Control Into An Equivalent Minimization Strategy For Adaptive Energy Management Of A Parallel Hybrid Electric Vehicle,
2021
West Virginia University
Implementation Of Fuzzy Logic Control Into An Equivalent Minimization Strategy For Adaptive Energy Management Of A Parallel Hybrid Electric Vehicle, Jared Alexander Diethorn
Graduate Theses, Dissertations, and Problem Reports (ETD)
As government agencies continue to tighten emissions regulations due to the continued increase in greenhouse gas production, automotive industries are seeking to produce increasingly efficient vehicle technology. Electric vehicles have been introduced by the industry, showing promising signs of reducing emissions production in the automotive sector. However, many consumers may be hesitant to purchase fully electric vehicles due to several uncertainty variables including available charging stations. Hybrid electric vehicles (HEVs) have been introduced to reduce problems while improving fuel economy. HEVs have led to the demand of creating more advanced controls software to consider multiple components for propulsive power in …
Mitigating Insider Threats In A Cooperative Adaptive Cruise Control System Using Local Intra-Vehicle Data,
2021
West Virginia University
Mitigating Insider Threats In A Cooperative Adaptive Cruise Control System Using Local Intra-Vehicle Data, Alexander Francis Colon
Graduate Theses, Dissertations, and Problem Reports (ETD)
With the rise of Connected-and-Automated-Vehicle (CAV) technologies on roadways, transportation networks have become increasingly connected through Vehicle-to-Everything (V2X) systems. With access to the additional data from V2X, modern cruise control systems like Adaptive Cruise Control (ACC) are further improved upon to develop systems like Cooperative ACC (CACC) which reduces traffic congestion and increases driver safety and energy efficiency. With that increased connectivity, previously closed vehicle systems are now vulnerable to new security threats which pose new technical challenges. Significant research has been done to strengthen the network against external threats such as denial-of-service attacks (DoS) or passive eavesdropping attacks using …
Consensus Based Control Strategy For Virtual Synchronous Generators In Microgrids,
2021
West Virginia University
Consensus Based Control Strategy For Virtual Synchronous Generators In Microgrids, Anusha Kandula
Graduate Theses, Dissertations, and Problem Reports (ETD)
Renewable energy sources such as photo-voltaic and wind energy are integrating very rapidly in power systems. These energy-based systems typically adopt power-electronic interfaced inverters to connect to the grid. However, unlike traditional generators, these sources have low inertia, resulting in system stability issues, especially in microgrids where they are the primary sources. To mitigate the low-inertia effect, the inverters are modeled as virtual synchronous generators (VSG), and their control is designed. The VSG emulates the inertia effect of the synchronous generator and maintains the stability of the system. Even though the droop control provides the primary control, it is insufficient …
Light Loaded Automated Guided Vehicle,
2021
The University of Akron
Light Loaded Automated Guided Vehicle, Marcus Radtka, Nazar Paramashchuk, Lawrence Shevock
Williams Honors College, Honors Research Projects
The objective of the locomotion system was to design and implement the mechanical, electrical, and software related functions to ensure the LLAGV had the capability of maneuvering its surroundings. The LLAGV’s motors were represented in an open loop transfer function to utilize RPM feedback and a compensator when needed. The modeled compensator helped control the LLAGV’s speed and acceleration, enabling further control of the LLAGV. The internal circuitry has the means to properly distributed power to all components and allowed the user to control the LLAGV to their desire. The application software within the LLAGV locomotion system (LLAGV-LS) had consideration …
Development Of Autonomous Vehicle Motion Planning And Control Algorithm With D* Planner And Model Predictive Control In A Dynamic Environment,
2021
Michigan Technological University
Development Of Autonomous Vehicle Motion Planning And Control Algorithm With D* Planner And Model Predictive Control In A Dynamic Environment, Somnath Mondal
Dissertations, Master's Theses and Master's Reports
The research in this report incorporates the improvement in the autonomous driving capability of self-driving cars in a dynamic environment. Global and local path planning are implemented using the D* path planning algorithm with a combined Cubic B-Spline trajectory generator, which generates an optimal obstacle free trajectory for the vehicle to follow and avoid collision. Model Predictive Control (MPC) is used for the longitudinal and the lateral control of the vehicle. The presented motion planning and control algorithm is tested using Model-In-the-Loop (MIL) method with the help of MATLAB® Driving Scenario Designer and Unreal Engine® Simulator by Epic Games®. Different …
Learning-Based Predictive Control Approach For Real-Time Management Of Cyber-Physical Systems,
2021
Virginia Commonwealth University
Learning-Based Predictive Control Approach For Real-Time Management Of Cyber-Physical Systems, Roja Eini
Theses and Dissertations
Cyber-physical systems (CPSs) are composed of heterogeneous, and networked hardware and software components tightly integrated with physical elements [72]. Large-scale CPSs are composed of complex components, subject to uncertainties [89], as though their design and development is a challenging task. Achieving reliability and real-time adaptation to changing environments are some of the challenges involved in large-scale CPSs development [51]. Addressing these challenges requires deep insights into control theory and machine learning. This research presents a learning-based control approach for CPSs management, considering their requirements, specifications, and constraints. Model-based control approaches, such as model predictive control (MPC), are proven to be …
Control Hierarchies For Critical Infrastructures In Smart Grid Using Reinforcement Learning And Metaheuristic Optimization,
2021
CUNY City College
Control Hierarchies For Critical Infrastructures In Smart Grid Using Reinforcement Learning And Metaheuristic Optimization, Oindrilla Dutta
Dissertations and Theses
The objective of this work is to develop robust control framework for interdependent smart grid infrastructures comprising two critical infrastructures: 1) power distribution networks that are characterized by high penetration of distributed energy resources (DERs), and 2) DC-rail transportation systems in congested urban areas. The rising integration of DERs into the power grid is causing a paradigm shift in the power distribution network. Consequently, new control challenges for efficient and robust operation of the power grid have surfaced. For instance, the intermittency of renewable energy resources necessitates coordinated control of power flows, voltage regulators, and protection device settings of the …
A General Framework For Characterizing And Evaluating Attacker Models For Cps Security Assessment,
2021
Virginia Commonwealth University
A General Framework For Characterizing And Evaluating Attacker Models For Cps Security Assessment, Christopher S. Deloglos, Christopher Deloglos
Theses and Dissertations
Characterizing the attacker’s perspective is essential to assessing the security posture and resilience of cyber-physical systems. The attacker’s perspective is most often achieved by cyber-security experts (e.g., red teams) who critically challenge and analyze the system from an adversarial stance. Unfortunately, the knowledge and experience of cyber-security experts can be inconsistent leading to situations where there are gaps in the security assessment of a given system. Structured security review processes (such as TAM, Mission Aware, STPA-SEC, and STPA-SafeSec) attempt to standardize the review processes to impart consistency across an organization or application domain. However, with most security review processes, the …
