Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 60 for “"Controls and Control Theory"”.
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Industrial control via a state language implementation on the transputer architecture
… The state language is used to specify the control strategy, which is a description of how the components to be automated are coordinated to perform the desired job. The state language approach to control strategy specification allows the job to be decomposed in such a way that is natural to …
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Control Hierarchies for Critical Infrastructures in Smart Grid Using Reinforcement Learning and Metaheuristic Optimization
… 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 …
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Control of Longitudinal Pitch Rate As Aircraft Center of Gravity Changes
… moves rearward, pitch stability decreases and the sensitivity to control input increases. This increase in sensitivity is known as pitch gain variance. Minimizing the pitch gain variance results in an aircraft with consistent handling characteristics across a broad range of center of …
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Artificial Neural Network-Based Robotic Control
… The applications of ANNs range from process control to pattern recognition and, with increasing importance, robotics. This paper demonstrates continuous control of a robot using the deep deterministic policy gradients (DDPG) algorithm, an actor-critic reinforcement learning strategy, …
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Deriving a Closed-Form Solution for Over-Actuated Surface Vessels with Actuator Constraints
<p>Over-actuated surface vessels require control–allocation strategies that compute commands based on a surge–sway–yaw force vector among multiple independently steerable thrusters without violating actuator constraints. Conventional methods either solve a constrained optimization at every control …
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A Novel Temperature Control Method for Electrode Type Ohmic Water Heaters
… by adjusting the electrode separation. The type and amount of dissolved solids and temperature, determine the electrical conductivity of the water, which limits the instantaneous power of Ohmic type heaters. The Ohmic heater prototype tested in this work uses electrode separation to regulate …
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Modeling and Charging Control of a Lithium Ion Battery System for Solar Panels
<p>The advancement in solar panel and battery technology makes them useful for energy supply and storage. This thesis involves the modeling and charging control of a lithium ion battery system for solar panels. The proposed model is based on the parameters and characteristics of a realistic battery …
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Multiple Robot Boundary Tracking with Phase and Workload Balancing
… robot system as applied to distributed tracking and sampling of a boundary edge. Within this system the boundary edge is partitioned into subsegments, each allocated to a particular robot such that workload is balanced across the robots. Also, to minimize the time between sampling local areas of …
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Voltage Stability Analysis Using Simulated Synchrophasor Measurements
<p>An increase in demand for electric power has forced utility transmission systems to continuously operate under stressed conditions, which are close to instability limits. Operating power systems under such conditions along with inadequate reactive power reserves initiates a sequence of voltage …
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Viewpoint Optimization for Autonomous Strawberry Harvesting with Deep Reinforcement Learning
… due to bottlenecks in machine perception and economic viability, a profitable and commercially adopted strawberry harvesting system remains elusive. In this research, we explore the feasibility of using deep reinforcement learning to overcome these bottlenecks and develop a practical …
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An Application of Sliding Mode Control to Model-Based Reinforcement Learning
… learning algorithms can generate admissible controls for complicated systems with no prior knowledge of the system dynamics, so long as sufficient (oftentimes millions) of samples are available from the environ- ment. On the other hand, model-based reinforcement learning approaches seek to …
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Backstepping Control and Transformation of Multi-Input Multi-Output Affine Nonlinear Systems into a Strict Feedback Form
… dissertation presents an improved method for controlling multi-input multi-output affine nonlinear systems. A method based on Lie derivatives of the system's outputs is proposed to transform the system into an equivalent strict feedback form. This enables using backstepping control approaches …
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Safe and Efficient Intelligent Intersection Control of Autonomous Vehicles
… this dissertation, we address a problem of safe and efficient intersection crossing traffic management of autonomous and connected ground traffic. Toward this objective, we propose several algorithms to handle different traffic environments. First, an algorithm that is called the Discrete-time …
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Variable Precision Tandem Analog-to-Digital Converter (ADC)
… follow the input in real time. It uses Flash and Successive Approximation (SAR) conversion techniques in sequence.</p> <p>As part of the design, the concept of "total real-time optimization" is explored, where any delay at all is treated as an error (Error = Delay * Signal Slew Rate). This …
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A LiDAR Based Semi-autonomous Collision Avoidance System and the Development of a Hardware-in-the-Loop Simulator to Aid in Algorithm Development and Human Studies
<p>In this paper, the architecture and implementation of an embedded controller for a steering based semi-autonomous collision avoidance system on a 1/10<sup>th</sup> scale model is presented. In addition, the development of a 2D hardware-in-the-loop simulator with vehicle dynamics based on the …
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Nonlinear Controller Design for UAVs with Time-Varying Aerodynamic Uncertainties
<p>Unmanned Aerial Vehicles (UAVs) are here and they are here to stay. Unmanned Aviation has expanded significantly in recent years and research and development in the field of navigation and control have advanced beyond expectations. UAVs are currently being used for defense programs around the …
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Towards Autonomous Localization of an Underwater Drone
<p>Autonomous vehicle navigation is a complex and challenging task. Land and aerial vehicles often use highly accurate GPS sensors to localize themselves in their environments. These sensors are ineffective in underwater environments due to signal attenuation. Autonomous underwater vehicles utilize …
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Local and Central Controllers for Microgrids
… so readers are able to learn about microgrids and to design simple controllers for different AC microgrid applications. In addition, this thesis has the objective to provide examples of simulation cases for the hierarchical structure of a basic AC microgrid which can be used as a foundation to …
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Modeling and Analysis of a Dynamic Voltage Regulator
<p>Increased government funding and incentives in recent years has led to an increase in the number of grid-tied renewable energy sources as their economic benefits become more renowned. Unfortunately, the outputs of these renewable resources are often highly variable, resulting in undesirable …
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