Controls and Control Theory Commons^™

Enhanced Cal Poly Super System Simulink Model, Matthew Ogden Mcfarland

Master's Theses

The Cal Poly Sustainable Power for Electrical Resources (SuPER) project is a solar power DC distribution system designed to autonomously manage and supply the energy needs of a single family off-the-grid home. The following thesis describes the improvement and re-design of a MATLAB Simulink model for the Cal Poly SuPER system. This model includes a photovoltaic (PV) array, a lead-acid gel battery with temperature effects, a wind turbine model, a re-designed DC-DC converter, a DC microgrid, and multiple loads. This thesis will also include several control algorithms such as a temperature controlled thermoelectric (T.E.) cooler, intelligent load switching, and an …

Solar Panel Tracker, Andrew Hsing

Electrical Engineering

This project will be a design and implementation of a polar single axis solar panel tracker. It will have a fixed vertical axis and an adjustable horizontal motor controlled axis. This setup is similar to an office swivel chair. The tracker will actively track the sun and change its position accordingly to maximize the energy output. To prevent wasting power by running the motor continuously, the tracker will correct it's position after 2 to 3 degrees of misalignment. The sensors will compare the light intensities of each side and move the panels until the tracker detects equal light on both …

Pulse Density Modulated Soft Switching Cycloconverter, Jesse Timothy Adamson

Master's Theses

Single stage cycloconverters generally incorporate hard switching at turn on and soft switching at turn off. This hard switching at turn on combined with the slow switching speeds of thyristors (the switch of choice for standard cycloconverters) limits their use to lower frequency applications.

This thesis explores the analysis and design of a pulse density modulated (PDM), soft switching cycloconverter. Unlike standard cycloconverters, the controller in this converter does not adjust thyristor firing angles. It lets only complete half cycles of the input waveform through to the output. This allows and requires a much greater frequency step down from the …

Multiple Robot Boundary Tracking With Phase And Workload Balancing, Michael Jay Boardman

Master's Theses

This thesis discusses the use of a cooperative multiple 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 the boundary edge, it is desirable to minimize the difference between each robot’s progression (i.e. phase) along its allocated sub segment of the edge. The paper introduces a new distributed controller that handles both workload and phase balancing. Simulation results are used to illustrate …

Prediction Of Wind Speeds With An Artificial Neural Network, Justin Tracy

Electrical Engineering

This project involved designing and programming an artificial neural network, testing its function, and testing the resulting function against existing wind speed measurement data, in order to determine the ability of an artificial neural network to learn the relationship between measured data and future wind speed. The artificial neural network includes gradient momentum, batch training, incremental training, and a function to test the results of the trained neural network against an additional set of data without back propagation. It was first found that the artificial neural network was able perform unsupervised learning, and learn the model for a XOR gate. …

Automated Basketball Return System, Victor Mendoza, Chris Chamberlain

Electrical Engineering

The project is meant to assist a basketball player in their practicing. The project hangs directly on the basketball rim and automatically rotates to find the player on the court. Once the player is detected, the automated basketball return system (ABRS) stays focused in the direction of the player so that any baskets successfully made will be funneled back to the player. When the player moves from center, IR motion detectors find which direction you moved to and rotates accordingly, until the player is focused in front of the funnel again. If at any time the player is absent from …

Traffic Signal Control With Ant Colony Optimization, David T. Renfrew

Master's Theses

Traffic signal control is an effective way to improve the efficiency of traffic networks and reduce users’ delays. Ant Colony Optimization (ACO) is a metaheuristic based on the behavior of ant colonies searching for food. ACO has successfully been used to solve many NP-hard combinatorial optimization problems and its stochastic and decentralized nature fits well with traffic flow networks. This thesis investigates the application of ACO to minimize user delay at traffic intersections. Computer simulation results show that this new approach outperforms conventional fully actuated control under the condition of high traffic demand.