Electrical and Computer Engineering Commons^™

Mitigation Of Pm Eddy Current Losses Using Offset Windings In Coreless Afpm Machines, Matin Vatani, Diego A. Lopez Guerrero, John F. Eastham, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Permanent magnet eddy current losses can become substantial in coreless stator axial flux permanent magnet (AFPM) machines operating at high speeds and under high electric loading, potentially leading to elevated temperatures and an increased risk of demagnetization. This paper investigates the origins of these losses through a detailed harmonic analysis of the winding factor and introduces a mitigation strategy. The proposed method utilizes two-layer offset windings, effectively minimizing undesirable armature flux harmonics through harmonic interaction between the offset layers. Two cases are studied: one in which each stator layer is connected to a separate inverter and another in which both …

Prepare Lora Physical Layer For Testing In Low Earth Orbit On A Cubesat, Sammy Brunton

Electrical Engineering

This project is a collaboration with OWL Integrations, a company that specializes in adaptable, low-cost communication systems. OWL has developed a board specifically designed for space applications called the Space Quacker Advanced Development (SQuAD), which is an adaptation of their existing board called the Quaker Advanced Development (QUAD).

This project focuses on testing the existing SQuAD board design to make sure that it is flight-ready for deployment on Cal Poly CubeSat’s satellite, SAL-E. To achieve this, the project must ensure compatibility with Low Earth Orbit (LEO) conditions by testing the integrated high-power long-range (LoRa) receiver and enhanced hardware to meet …

2024 – 2025 Cal Poly Wind Power Ac-Dc Rectification Subsystem For Collegiate Wind Competition 2025, Ryan Rayos, Annabella Piercey, Alex Liu

Electrical Engineering

This project focuses on the design and development of a bidirectional AC-DC rectification subsystem for a wind energy conversion system (WECS), tailored for the 2025 Collegiate Wind Competition. The subsystem is defined by its core inputs and outputs where it receives AC power from the wind turbine generator and delivers stable DC power to auxiliary electronics and variable loads. Conversely, the system can also accept DC power, such as from wall power, and output AC power to drive the permanent magnet synchronous machine (PMSM) as a motor, overcoming cogging torque and initiating turbine blade rotation. This bidirectional functionality is enabled …

Expeditionary Ocean Power Generator, Ethan Gossard, Julian Steele, Alex Gray, Hunter Herring-Alderete

Electrical Engineering

Point Absorber Wave Energy Converters are currently being explored as a new form of energy harvesting. The Naval Facilities' Expeditionary Ocean Warfare Center (NAVFAC EXWC) has commissioned an interdisciplinary project for students at California Polytechnic State University, San Luis Obispo, to design a prototype Expeditionary Ocean Power Generator (ExOPG) for charging batteries in the ocean.

The Mechanical Engineering team is responsible for assembling the prototype chassis, which converts the vertical bobbing motion of a buoy into kinetic rotational energy that can be used to rotate a generator shaft. They are additionally tasked with isolating the electrical components from the harsh …

Drop Ceiling Inspection Robot, Kris Chon, Henry Fang, John Hoang, Kevin Zhang

Electrical and Computer Engineering Senior Theses

Electricians face significant health and safety hazards when inspecting drop ceilings, including exposure to dust, asbestos, and the risk of falls. To address these challenges, this project proposes a lightweight, autonomous robot capable of inspecting drop ceilings and assisting with wire tracing tasks—thereby distancing electricians from hazardous environments. The robot employs tread-based mobility to navigate fragile ceiling panels, integrated ultrasonic sensors and bumpers for obstacle avoidance, and an antenna system to detect and follow energized wire signals. Visual feedback is provided to the operator through a real-time video feed over a secure NoMachine interface, with manual and semi-autonomous operation modes …

High-Frequency Current And Voltage Sensing Buck Converter Compatible With Model Predictive Control, Cathy G. Chen, Lani K. Nguyen

Electrical Engineering

This paper presents the design and implementation of a high-frequency buck converter operating at 1 MHz, integrated with voltage and current sensing capabilities for enhanced output regulation. The primary objective is to minimize transient dips in output voltage commonly observed during load disturbances or switching events. The converter design is intended to be compatible with a Digitally Assisted Analog Computing Circuit (DAACC) for real-time model predictive control (MPC), which leverages fast analog elements with programmable digital components to solve a penalty-based reformulation of the quadratic optimization problem underlying conventional MPC.

Single-Sided Hearing Assistance Application, Harryson Nguyen, Jp Haratani

Electrical Engineering

The product is a hearing assistance smartphone application which aims to improve the quality of life of people with single-sided hearing loss/deafness by providing them with a cheaper and more reliable alternative to medically-prescribed hearing aids. Due to development setbacks, the product instead uses open-ear earbuds. Since the earbuds are not directly inserted into the user’s ear canals, they will not obstruct the hearing of the user’s non-deaf ear, and the user will still be able to hear the sounds that come from their non-deaf side. Some users may find that Bluetooth earbuds can be quite expensive, but are ultimately …

Wireless Communication In Autonomous Vehicles, Ethan Paul Spalard, Alan Rubalcava, Jarnail Singh Sanghera

Electrical Engineering

This project focuses on building a realistic, standards based V2X communication platform using DSRC (IEEE 802.11p) to support future autonomous vehicle control research. The system is built around commercial off-the-shelf (COTS) hardware, specifically the NXP i.MX 8XLite – V2X Evaluation Kit, which integrates an automotive-grade processor and the SAF5400 V2X modem to handle low-level DSRC transmission in the 5.9 GHz band.

We successfully completed the hardware bring-up, verified over-the-air communication between two nodes, and performed initial RF characterization using a spectrum analyzer. The SAF5400 was confirmed to operate on all seven DSRC channels (172–184), maintaining the correct 10 MHz bandwidth …

Piezoelectric Actuator Driver System, Daniel Hoefer

Electrical Engineering

This work presents the design, fabrication, and testing of a high-voltage piezoelectric actuator driver system purposed for integration into defense and aerospace precision motion control applications, particularly those in laser optics. The core challenge addressed was the mismatch between the standardized 28V DC power bus used in military systems and the significantly higher voltage requirements of piezoelectric actuators. Existing commercial drivers were evaluated and found unsuitable for field deployment due to inadequate ruggedness, excessive complexity, or power limitations. Consequently, a modular system architecture was designed featuring four independent driver channels, each using a high-voltage, high-current linear amplifier topology to scale …

Direction Finding From Aerial Platforms With Amateur Radio Arrays, Ben Duval Iii, Esteban Perez

Electrical Engineering

This senior project presents the development of a communication network designed to remotely control and program a distributed digital antenna array for autonomous synchronization and calibration. The system facilitates command transmission using a custom BPSK communication protocol operating in the UHF band (430–450 MHz) and employs a two-tone waveform to extract frequency, phase, and timing offsets between array nodes. These offsets are critical for aligning received signals in preparation for digital beamforming. The array comprises four nodes: three aerial units and one ground-based control unit. Each node is built using a LimeSDR Mini 2.0, Raspberry Pi, portable battery pack, and …

Mesh-Networked Uav Swarm: Experimental Leader-Follower Formation Control, Toma Grundler, Jack Ryan

Electrical Engineering

In recent years, unmanned aerial vehicles (UAVs) have demonstrated significant potential for multi-agent coordination applications, yet reliable formation control algorithms remain challenging to implement in real-world environments. This report presents the design, simulation, and hardware implementation of four leader-follower formation control strategies for UAV swarms. The implemented algorithms include a semi-rigid PI controller based on forward and lateral distance error, a hybrid PID controller utilizing mixed error signals with velocity and position feedback, a simplified velocity-based PID controller operating on individual coordinate components, and a GPS offset controller with direct positional control. MATLAB simulation validated controller performance in four different …

Marine Energy Collegiate Competition - Polywave Energy, Beneda Loya, Isaiah Martinez, Emily Nicoletta, Michael Weber

Electrical Engineering

This document is the final Electrical Engineering senior project report for Cal Poly’s 2025 Marine Energy Collegiate Competition (MECC) team. The goal of this project is to build and test a wave-energy converter designed to address the need for sustainable power generation for remote coastal community microgrids. These existing systems often rely on costly, fossil-fuel generators, creating both logistical and environmental challenges. Our device aims to provide a renewable, low-maintenance solution that can operate reliably in offshore environments and serve commercial or research applications. The goal of the electrical engineering team was to develop a system that can convert rotational …

Synthetic Aperture Radar Processing For Increased Resolution Of Englacial Strata, Ava Stockman

Electrical Engineering

Glaciological research relies on a variety of remote-sensing methods to study the internal structure of glaciers and other bodies of ice. Synthetic Aperture Radar (SAR) serves as one method for imaging large cross sections of englacial strata, reducing the need for labor-intensive, costly, and hazardous ice coring expeditions and operations. Characterizing englacial structures using SAR images allows scientists to learn about the ice dynamics of past and present which provides the basis for discoveries about climate history and glacial dynamics. This project explores the benefits of employing various SAR processing methods to raw phase history data acquired through the British …

Digital Drone Arrays: Two-Tone Communication, Armin Behbahani, Alejandro Martin Cosper, Landon Leroy John Foster, Mont Ziadoon Murad

Electrical Engineering

Over the last few years, there has been great interest in distributed antenna arrays. These arrays require each element to be precisely located and synchronized with each other in time, phase, and frequency. To this end, a drone-mounted, two-tone communication system was developed. It uses a transmit-retransmit-receive architecture, which obtains all of the necessary data required to compute and correct the phase, frequency, and time differences between each element while estimating distance. When integrated into a distributed array of drones, this two-tone communication system will be essential for reliable operation.

Test Equipment Automation And Remote Operation Curriculum Senior Project, Raheel Rehmatullah

Electrical Engineering

The goal of this project is to create new lab procedures and lab bench permutations for Cal Poly EE students to implement automated Test and Measurement equipment into their electrical engineering education. Currently EE students at Cal Poly have no classroom based opportunities to learn about leveraging software skills and test equipment knowledge in order to automate measurements, which is a valuable skill for an electrical engineer in the workforce. The curriculum outlined in this project will include three experiments, each leveraging an instrument controller, and Python as the primary scripting language. Each procedure will require students to write Python …

Autonomous Mapping Rover, Garrett Jones, Timothy Kyle Chu, Eugenio Caruso Pasos

Electrical Engineering

This report details the design, implementation, and evaluation of "Rovero," an autonomous mapping rover developed as a senior project. Rovero integrates state-of-the-art technologies, including ROS2 for communication, SLAM algorithms for mapping, and sensor fusion for accurate navigation. The project aimed to achieve robust autonomous operation in indoor environments, leveraging a combination of LiDAR, IMU, and encoder data for real-time decision-making. Key challenges addressed include path planning, obstacle avoidance, and integration of multiple sensor inputs. Results demonstrate successful mapping capabilities and efficient navigation performance.

Project Owl: Quad Rc2, Ethan Cy Zane

Electrical Engineering

Quad RC2 is a new radio designed to be compatible with the Cluster Duck Protocol (CDP). It must be able to act as all parts of the mesh network and be able to find its location with GPS. Much of the RC2 effort is already completed. This project ports the previously developed firmware to the new board and runs tests to assess its capabilities.

An Analysis Of The Power Consumption Of Various Computer Vision Machine Learning Techniques On A Microcontroller Utilizing The Clusterduck Protocol, Kaveh Shafiei

Electrical Engineering

Constant data processing is essential for effective data collection, particularly in remote and hard-to-reach areas. The need for efficient, autonomous data acquisition and transmission is increasingly addressed by integrating machine learning within larger communication networks. This paper explores the application of machine learning techniques with Internet of Things (IoT) mesh networks. Utilizing the LoRa communication protocol, data is captured and analyzed on an edge device and transmitted to a larger communication network. The ClusterDuck Protocol (CDP), developed by OWL Integrations, serves as an IoT mesh network designed to allow for communication in areas lacking traditional static infrastructure such as WiFi …

Leader-Follower Platooning With Turtlebot3: A Low-Cost Ros Test-Bed Using Vision-Lidar Fusion, Patrick Kelly Crandall, Kalon Ma Bienz

Electrical Engineering

This report presents the design, implementation, and indoor validation of a two-robot leader–follower platoon built on low-cost Turtlebot3 platforms. Each robot runs ROS Noetic on an on-board Raspberry Pi 4, fusing a fisheye camera for HSV-based lane detection with an LDS-02 LiDAR for clustering-based leader identification. A dual-loop architecture (PD steering for lateral control and PID for longitudinal gap regulation) maintains a 0.40m headway and keeps the follower centered within +/- 5 cm of the lane midline, without any inter-vehicle communication or external localization. Track experiments at speeds up to 0.18m/s achieved mean gap error of +/- 3 cm and …

Advanced Light Dimming Power Converter, Jaden Nguyen, Edwin Lin, Alan Thai

Electrical Engineering

This senior project discusses and follows the development of the Advanced Light Dimming Power Converter meant to modernize the power electronics curriculum and improve student safety for a lab. The power converter attempts to replace the original experiment which includes a traditional TRIAC-based dimmer and focuses on demonstrating phase angle control for incandescent light bulbs. However, several drawbacks including high-voltage exposure and outdated technology warranted a revamp. The redesigned module includes a dual-experiment setup with an updated TRIAC-based dimmer circuit and a new AC-DC LED driver circuit with constant current control and PWM dimming capability. Both systems have been fabricated …

Single-Sideband Pulse Width Modulation For Parametric Acoustic Arrays, Douglas Liu

Master's Theses

Parametric acoustic arrays are directional loudspeakers that operate using ultrasonic carriers to project sound within a narrow beam. Input audio is first modulated onto an ultrasonic carrier and transmitted through air, where it self-demodulates into audible frequencies in the far field.

This thesis introduces a method for preprocessing audio into scaled quadrature signals using a passive analog polyphase filter. These signals are modulated using microcontroller-generated waveforms to create quadrature ultrasonic pulse-width modulation (PWM) signals. The modulated outputs are combined through a wired-OR summer, producing single-sideband ultrasonic content at the desired frequency of 40 kHz. This signal is amplified through high-efficiency …

Design, Analysis, And Implementation Of An Improved Zero Voltage Switching Hybrid Voltage Divider, Luke V. Cerda

Master's Theses

This thesis entails the study, design, and construction of a novel DC-DC converter topology, the Zero Voltage Switching Hybrid Voltage Divider (ZVS-HVD), with improved modularization, optimization, and compactness. The ZVS-HVD facilitates higher load currents and accomplishes DC-DC voltage division through switching inductors and capacitors. Low switching loss is achieved through zero voltage switching (ZVS) and the use of GANFET switches. An analysis of duty cycle and high-frequency operation is conducted, enabling 1 MHz switching and improvements in output voltage ripple, voltage drooping, board size, and efficiency at higher load currents. Two versions of ZVS-HVD prototypes were constructed with on-board signal …

Developing Machine Learning Models And Graphene-Based Flexible Humidity And Temperature Sensors For Machine-Learning-Assisted Sensing, Seth Hajian

Dissertations

Flexible sensor technology has recently gained tremendous momentum in both academic research and industrial applications, transitioning from conceptual frameworks to practical implementations across diverse fields. This remarkable advancement can be attributed to several converging factors, including the maturation of nanomaterial science, the advancements of machine learning algorithms, and the critical demand for intelligent sensing solutions in healthcare, environmental monitoring, and industrial automation. The growing emphasis on personalized medicine and real-time health monitoring, accelerated by global health challenges, has further highlighted the necessity for accurate, cost-effective, and adaptable sensing platforms. This dissertation presents the fulfillment of three interconnected research projects focused …

A Parallel Fuzzy Logic Framework For Surgical Skill Evaluation Via Instance Segmentation And Deepsort Tracking, Mohsen M. Mohaidat

Dissertations

Manual evaluation of suturing skills during laparoscopic training is often subjective and labor-intensive, resulting in the lack of scalable and consistent feedback for trainees. This study proposes an automated framework that not only significantly reduces the need for in-person assessment by experts but also ensures scalability, thereby addressing the objectivity and cost-effectiveness limitations. While low-cost laparoscopic box trainers have become increasingly popular for residency training, performance assessment still depends on expert supervision. The proposed system aims to alleviate these limitations.

This study introduces a novel automated framework incorporating an optimized DeepSORT algorithm for classifying, localizing, and tracking surgical tools using …

Range-Dependent Meso-Scale Geoacoustic Seabed Quantification, Tim Sonnemann, Jan Dettmer, Charles W. Holland, Stan E. Dosso

Electrical and Computer Engineering Faculty Publications and Presentations

This study presents a probabilistic one-step two-dimensional (2D) inversion method of spherical-wave reflection coefficient data to estimate the range-dependent structure and geoacoustic parameters along a track. The approach of inverting such datasets independently as one-dimensional (1D) layered models and merging them to a 2D section is feasible but computationally expensive. This study demonstrates a more parsimonious 2D parametrization for active source data recorded on a towed hydrophone array. The comparison of data variance reduction for 1D- and 2D-based results clearly favors the 2D parametrization described here.

Hydropower Collegiate Competition, Aiden D. Foster, Devon Bountry, Joanna Vo, Timothy Rinker, Amanda Rodriguez, Minh Nguyen, Eli Haushalter, Sophie Watkinson, Maiya Holton, Breanne Evans

Mechanical Engineering

The Cal Poly SLO HCC team presents a feasibility study and engineering design review package for retrofitting the non-powered Ritschard Dam in Colorado into a hydroelectric facility as part of the 2025 Hydropower Collegiate Competition. Through a rigorous and multi-staged assessment of plausible dam sites in the western US, the team has chosen the Ritschard Dam in Colorado to implement an electromechanical component designed to accommodate a large range of flowrates stemming from a large variance in upper reservoir capacity due to geographical and climate effects. The team evaluated non-powered dams based on technical feasibility, electric grid proximity, power generation …

Compact, Low-Power Underwater Acoustic Modem Characterization And Sensing Network Node Implementation, Lucas W. Lucia

Master's Theses

There is a growing market for compact, power-efficient underwater communication technology. Due to the limited propagation of electromagnetic waves through water, modulated acoustic waves have emerged as an effective means of wireless communication underwater. In decades past, many acoustic modems had been developed primarily for defense customers in larger systems functioning at high power. In recent years, smaller, relatively inexpensive acoustic modems have become available on the market—but data on their performance in a real-world environment is scarce. Companies such as OWL Integrations are interested in employing such acoustic modems as part of sensing networks across multiple mediums. For such …

Analog Hardware Implementation Of A Linearly Constrained Quadratic Program Real-Time Solver, Claire E. Tylutki, Claire Tylutki

Master's Theses

This thesis presents the design, implementation, and analysis of a hardware system for solving Linearly Constrained Quadratic Programs (LCQPs) in real time. The architecture follows a generalized feedback structure composed of three key elements: gradient descent on the quadratic cost function, saturation-based nonlinearity to enforce inequality constraints, and an integral controller with an anti-windup mechanism to regulate dynamic behavior and determine steady-state error. This majority analog system converges with equilibria that satisfy the Karush-Kuhn-Tucker (KKT) optimality conditions. Using a representative LCQP, this work presents simulation of the circuit in PLECS and LT Spice to confirm the feasibility of the novel …

Ev Microgrid Inspired Open-Source Power Inverter, Bryan A. Carrillo Martinez

Master's Theses

The development of open-source power electronics platforms plays an instrumental role in accelerating microgrid deployment, electric vehicle (EV) integration, and educational access to embedded power electronic converters. This thesis presents the design, implementation, and validation of the Atinverter V2, an open-source DC to AC inverter intended for low power EV microgrid applications and educational settings. The Atinverter V2 integrates various hardware and software subsystems centered around the ATMEGA328P microcontroller, enabling PWM-based sinusoidal power inversion, DC/AC voltage and current sensing, and embedded control features. Software development leverages a C++ object-oriented library and multiple Arduino-based modules to facilitate modular and scalable operation. …

Leveraging Machine-Learning Algorithms In Two Car Crash Detection Systems On A Custom Dataset, Addison Jacob Sandvik

Master's Theses

Traffic accidents pose a significant threat to public safety, causing millions of deaths and injuries worldwide each year. While efforts to reduce accidents have seen limited progress in recent years, improving emergency response times through automated detection systems is a promising avenue for saving lives. This thesis describes the development of machine learning-based traffic accident detection systems, exploring both video classification and image detection models. The models are trained on a new dataset deemed the Cal Poly Traffic Accident Dataset, an extension of the existing Car Accident Detection and Prediction (CADP) dataset with a precise collision annotations. Two systems were …