Cal Poly Ee 518 Electric Power Protection Laboratory, 2019 California Polytechnic State University, San Luis Obispo
Cal Poly Ee 518 Electric Power Protection Laboratory, Richard Terre, Vincent Tham, Austin Kurth
Facing a rapidly-changing power industry, the electrical engineering department at Cal Poly San Luis Obispo proposed Advanced Power Systems Initiatives to better prepare its students for entering the power industry. These initiatives call for the creation of a new laboratory curriculum that utilizes microprocessor-based relays to reinforce the fundamental concepts of power system protection.
The electric power protection laboratory (EPPL) senior project is the validation of lab manuals written for the planned EE-518 power system protections laboratory looking to be offered in Spring 2020 alongside the current lecture class under the same designation. This report evaluates the lab manual, verifies ...
Underwater Remotely Operated Vehicle Controller With Pid Stability Regulation, 2019 California Polytechnic State University, San Luis Obispo
Underwater Remotely Operated Vehicle Controller With Pid Stability Regulation, Christian E. Aguirre
The earth’s oceans and rivers remain widely unexplored. Hobbyists and companies across the globe invest money and resources into remotely operated vehicles (ROV) to further expand underwater knowledge. Each ROV includes a controller that operates motors and monitors other crucial system vitals. The ROV Controller project makes the process of designing an ROV simpler and more affordable by providing a multi-purpose programmable controller.
The ROV controller features programmable digital inputs/outputs and analog inputs. The controller processes control signals from analog joysticks, digital signals from a gyroscope and utilizes a MUX to expand the analog input capabilities of the ...
Human Sensing Expansion For A Rolling Robot, 2019 California Polytechnic State University, San Luis Obispo
Human Sensing Expansion For A Rolling Robot, Eric Hanson
For the past twenty years, fans of the Star Wars movies have been building their own replica robots or “droids” that they fell in love with on the big screen. This project takes an existing design for the BB-8 droid and integrates sensors that can detect people and then interact with them. This design uses six IR sensors and one main 8x8 IR sensor grid to be able to detect the closest person and turn BB- 8’s dome towards them as though they are looking at them.
Weight Controlled Electric Skateboard, 2019 California Polytechnic State University, San Luis Obispo
Weight Controlled Electric Skateboard, Zachary Barram, Carson Bertozzi, Vishnu Dodballapur
Technology and the way that humans interact is becoming more vital and omnipresent with every passing day. However, human interface device designers suffer from the increasingly popular “designed for me or people like me” syndrome. This design philosophy inherently limits accessibility and usability of technology to those like the designer. This places severe limits of usability to those who are not fully able as well as leaves non-traditional human interface devices unexplored. This project set out to explore a previously uncharted human interface device, on an electric skateboard, and compare it send user experience with industry leading human interface devices.
Forecasting Building Energy Consumption With Deep Learning: A Sequence To Sequence Approach, 2019 Western University
Forecasting Building Energy Consumption With Deep Learning: A Sequence To Sequence Approach, Ljubisa Sehovac, Cornelius Nesen, Katarina Grolinger
Electrical and Computer Engineering Publications
Energy Consumption has been continuously increasing due to the rapid expansion of high-density cities, and growth in the industrial and commercial sectors. To reduce the negative impact on the environment and improve sustainability, it is crucial to efficiently manage energy consumption. Internet of Things (IoT) devices, including widely used smart meters, have created possibilities for energy monitoring as well as for sensor based energy forecasting. Machine learning algorithms commonly used for energy forecasting such as feedforward neural networks are not well-suited for interpreting the time dimensionality of a signal. Consequently, this paper uses Recurrent Neural Networks (RNN) to capture time ...
Tidalsim Senior Project Report, 2019 California Polytechnic State University, San Luis Obispo
Tidalsim Senior Project Report, Kent Zhang, Colin Vandervoort
Throughout the course of this project, our team helped the Cal Poly Biological Sciences department refine an intertidal zone simulator. The aim of this device is to allow any marine biologist to easily simulate a vast range of tidal zones in order to test animal behaviors within these zones. Another goal of this project is to make each simulation tank independent from the others by using a single microcontroller to handle all inputs and outputs of the system as well as logging all relevant data. The current system is set up so that a separate microcontroller handles dissolved oxygen and ...
Flight Director Embedded System And Mobile Ios Application, 2019 California Polytechnic State University, San Luis Obispo
Flight Director Embedded System And Mobile Ios Application, Anthony Epshteyn
For my senior project, I was asked to assist an Aerospace Engineering professor with the design of his new glider. He needed to create a flight director-type instrument so that his pilot could get the aircraft’s positional data during flight. This positional data came from a powerful sensor mounted on the fuselage. To interface with the sensor, I created an embedded system comprised of a ESP32 micro-controller communicating with the sensor via UART/RS-232. The micro-controller was mounted on a breadboard and connected to the sensor via jumper wires. The ESP32 featured a Bluetooth chip that allowed for communication ...
Dashboard, 2019 California Polytechnic State University, San Luis Obispo
Dashboard, Bradley Manuel Levin, Kyle Matthew King
Modern gamers are always looking for new and exciting ways to play board games. Our senior project, DashBoard, is intended to capitalize on this interest and upgrade board games to have pre-programmed moves and easy piece moving. It is a proof-of-concept project for a programmable chess-style game board using an electromagnet array to move the pieces around the board. With an easily programmable interface with the Raspberry Pi 3, users can make their own programs or find ones others have made online to move pieces in creative ways.
Heat: Hydraulic And Electric Animation Team, 2019 California Polytechnic State University, San Luis Obispo
Heat: Hydraulic And Electric Animation Team, Tyler J. Couvrette, Michael J. Cain, Sara T. Novell, Dexter K. Yanagisawa
Each New Years’ Day, the Cal Poly Rose Float presents a flower-covered float to the world at the Tournament of Roses parade. This floral display, paired with moving mechanical animations, shows off Cal Poly to the world. This project strove to keep Cal Poly on the cutting edge of technology both in parade floats, and in engineering, by creating a completely electric-powered animation system.
To accomplish this, a group of students set out to make the fully electric animation system that can power both the hydraulic and electric mechanisms on the Float. This was accomplished through months of planning and ...
Pseudo-Stereo Audio Processor, 2019 California Polytechnic State University, San Luis Obispo
Pseudo-Stereo Audio Processor, Zachariah David Bunce
Due to both technical and resource limitations, non-professional audio production must often record with a single microphone, creating a mono audio signal. Even some originally multi-channel audio files often combine the separate channels into a single channel to save memory. However, this channel limitation makes any music held within the audio duller during listening. The Pseudo-Stereo Audio Processor remedies this situation, introducing a quadrature phase shift onto a given single-channel audio signal, producing multiple phase shifted output signals. These separate fixed-phase output signals are then recombined to produce a variable phase difference, emulated two-channel version of the input signal, allowing ...
Dc-Dc Converter For Electric Vehicle, 2019 California Polytechnic State University, San Luis Obispo
Dc-Dc Converter For Electric Vehicle, Jason Y. Zhou, Nicholas James Mah
In this work, a DC-DC converter is designed for an electric vehicle. The DC-DC converter is designed to provide 500W with a 200-400V input and a 12-15V adjustable output. Electric vehicle sales are beginning to increase in popularity and the need for DC-DC converters to siphon power from the tractive system is not yet fully satisfied, especially for single-seater class vehicles. Additionally, improving performance in efficiency without sacrificing wide input voltage range can benefit future DC-DC converter designs. In the end, a forward active clamp DC-DC converter is designed and tested. Additionally, spreadsheet calculators, LTSpice simulations, and Matlab scripts were ...
Pv Hybrid Inverter And Bess, 2019 California Polytechnic State University, San Luis Obispo
Pv Hybrid Inverter And Bess, Jacob Sussex, William Dresser, Owen Mckenzie, Jonathan Wharton, Derek Seaman
The storage of energy from renewable sources such as photovoltaic based systems is a growing market, with 36 MWh of storage installed in Q1 of 2018. A report from EnergySage earlier this year states that in 2017, 74% of residential solar owners were also interested in energy storage systems. Mainstream systems like Tesla’s Powerwall are competing with other lithium-ion based storage systems from a wide number of providers on the market today. Short term and long term data collection on a system like this could be useful in designing future systems which perform better than the current market offerings ...
Gold Tree Solar Farm - Machine Learning To Predict Solar Power Generation, 2019 California Polytechnic State University, San Luis Obispo
Gold Tree Solar Farm - Machine Learning To Predict Solar Power Generation, Jonathon T. Scott
Computer Science and Software Engineering
Solar energy causes a strain on the electrical grid because of the uncontrollable nature of the factors that affect power generation. Utilities are often required to balance solar generation facilities to meet consumer demand, which often includes the costly process of activating/deactivating a fossil fuel facility. Therefore, there is considerable interest in increasing the accuracy and the granularity of solar power generation predictions in order to reduce the cost of grid management. This project aims to evaluate how sky imaging technology may contribute to the accuracy of those predictions.
Effects Of Pulse Width On He Plasma Jets In Contact With Water Evaluated By Oh(A-X) Emission And Ohaq Production, 2019 Old Dominion University
Effects Of Pulse Width On He Plasma Jets In Contact With Water Evaluated By Oh(A-X) Emission And Ohaq Production, Shutong Song, Esin B. Sözer, Chunqi Jiang
Nanosecond pulsed helium plasma jets impinging on water produce hydroxyl radicals both in gas- and liquid-phase. In this study, the effects of pulse width on a repetitively pulsed plasma jet in contact with water are evaluated via OH(A-X) emission and OHaq production in water for various pulse widths ranging from 200 to 5000 ns. The maximal energy efficiency of OH(A-X) emission is obtained for pulse widths of 600-800 ns whereas the maximal efficiency of OHaq production is at 200 ns. Temporally-resolved emission spectroscopy shows that more than 40% of OH(A-X) emission is produced during the ...
Designing A Low-Cost Ultrasound Pulser, 2019 Union College - Schenectady, NY
Designing A Low-Cost Ultrasound Pulser, Andrea Huey
Ultrasound imaging allows for those studying living beings to see inside a subject without causing it harm. This allows for real-time images to be taken, leading to ease of observational research. However, while this technology is beneficial to those who utilize it, the devices used to create and receive ultrasound pulses can be incredibly complex, allowing for precise adjustment of the output signal and various other functions, and therefore expensive. The focus of this senior project is the design of a low-cost pulser for use with an ultrasound transducer. While it does not have all the high-level functions of the ...
Impact Of Beam Misalignment On Hybrid Beamforming Noma For Mmwave Communications, 2019 Boise State University
Impact Of Beam Misalignment On Hybrid Beamforming Noma For Mmwave Communications, Mojtaba Ahmadi Almasi, Mojtaba Vaezi, Hani Mehrpouyan
Electrical and Computer Engineering Faculty Publications and Presentations
This paper analyzes the effect of beam misalignment on rate performance in downlink of hybrid beamforming-based non-orthogonal multiple access (HB-NOMA) systems. First an HB-NOMA framework is designed in multiuser millimeter wave (mmWave) communications. A sum-rate maximization problem is formulated for HB-NOMA, and an algorithm is introduced to design digital and analog precoders and efficient power allocation. Then, regarding perfectly aligned line-of-sight (LoS) channels, a lower bound for the achievable rate is derived. Next, when the users experience misaligned LoS or non-LoS (NLoS) channels, the impact of beam misalignment is evaluated. To this end, a misalignment factor is modeled and each ...
Data-Driven Integral Reinforcement Learning For Continuous-Time Non-Zero-Sum Games, 2019 Missouri University of Science and Technology
Data-Driven Integral Reinforcement Learning For Continuous-Time Non-Zero-Sum Games, Yongliang Yang, Liming Wang, Hamidreza Modares, Dawei Ding, Yixin Yin, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
This paper develops an integral value iteration (VI) method to efficiently find online the Nash equilibrium solution of two-player non-zero-sum (NZS) differential games for linear systems with partially unknown dynamics. To guarantee the closed-loop stability about the Nash equilibrium, the explicit upper bound for the discounted factor is given. To show the efficacy of the presented online model-free solution, the integral VI method is compared with the model-based off-line policy iteration method. Moreover, the theoretical analysis of the integral VI algorithm in terms of three aspects, i.e., positive definiteness properties of the updated cost functions, the stability of the ...
Electromagnetic Analysis Of A Wind Turbine Magnetic Gearbox, 2019 University of North Carolina at Charlotte
Electromagnetic Analysis Of A Wind Turbine Magnetic Gearbox, Kang Li, Sina Modaresahmadi, Wesley B. Williams, Jonathan Bird
Electrical and Computer Engineering Faculty Publications and Presentations
The design of the second stage of a 59:1 multi-stage magnetic gearbox for a wind turbine demonstrator is presented. The multi-stage series-connected magnetic gearbox is composed of a 6.45 first stage and 9.14 second stage. A flux-focusing spoke-type rotor typology is used with a unique segmented fully laminated design. The impact of structural design changes is considered with respect to torque density. A new rotor typology is presented that enables the magnetic gearbox to be mechanically assembled first without magnets.
Structural Health Monitoring Of Composite Parts: A Review, 2019 Union College - Schenectady, NY
Structural Health Monitoring Of Composite Parts: A Review, Jacob Pessin
Structural health monitoring has the potential to allow composite structures to be more reliable and safer, then by using more traditional damage assessment techniques. Structural health monitoring (SHM) utilizes individual sensor units that are placed throughout the load bearing sections of a structure and gather data that is used for stress analysis and damage detection. Statistical time based algorithms are used to analyze collected data and determine both damage size and probable location from within the structure. While traditional calculations and life span analysis can be done for structures made of isotropic materials such as steel or other metals, composites ...
Energy Efficient Network-On-Chip Architectures For Many-Core Near-Threshold Computing System, 2019 Utah State University
Energy Efficient Network-On-Chip Architectures For Many-Core Near-Threshold Computing System, Chidhambaranathan Rajamanikkam, Jayashankara S. Rajesh, Koushik Chakraborty, Sanghamitra Roy
Electrical and Computer Engineering Faculty Publications
Near threshold computing has unraveled a promising design space for energy efficient computing. However, it is still plagued by sub-optimal system performance. Application characteristics and hardware non-idealities of conventional architectures (those optimized for nominal voltage) prevent us from fully leveraging the potential of NTC systems. Increasing the computational core count still forms the bedrock of a multitude of contemporary works that address the problem of performance degradation in NTC systems. However, these works do not categorically address the shortcomings of the conventional on-chip interconnect fabric in a many core environment. In this work, we quantitatively demonstrate the performance bottleneck created ...