Author: Francesco Braghin
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Closed-Loop, Sensorless Position Control Algorithm for Directional Proportional Electrohydraulic Valves
The objective of this thesis is the development of an innovative closed-loop, sensorless position control algorithm for proportional electrohydraulic valves, based on the indirect estimation of the electromagnet inductance, in order to ensure good control accuracy and repeatability. This approach makes it possible to eliminate the use of an LVDT position transducer, resulting in a
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Design and testing of novel adaptive control systems for UAVs
The Advanced Control Systems Lab at Virginia Tech is seeking enthusiastic graduate students (M.S. and Ph.D. level) interested in a research experience in the United States. Research projects involve the design and testing of novel adaptive control systems. Numerical simulations will be performed in a high-fidelity simulation environment for UAVs, and experiments will be
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Methodology for L2 Lane-Centring Performance Evaluation
This thesis aims to develop a structured methodology for evaluating the performance of Level 2 lane-centring systems. The research will define objective metrics for lateral deviation, steering smoothness, stability under varying curvature, and robustness to degraded lane markings or environmental disturbances. Both simulation-based and experimental validation approaches will be considered to ensure repeatability and regulatory
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Low-Speed Trajectory Reconstruction via IMU–Kinematic Steering Fusion
This thesis addresses accurate vehicle trajectory reconstruction at low speeds in GNSS-denied environments such as parking structures or indoor facilities. Pure IMU integration suffers from drift caused by bias accumulation and sensor noise. The research proposes combining IMU-based odometry with a kinematic steering model (e.g., bicycle model) to constrain vehicle motion and reduce estimation errors.
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Supercapacitor Integration in Electric Vehicles
This thesis evaluates the potential integration of commercial or innovative supercapacitors into BEV or PHEV architectures to enhance propulsion performance, regenerative braking efficiency, and/or reduce system weight. The research will include system-level modelling of hybrid battery–supercapacitor configurations, energy flow simulations, and performance trade-off analysis. Particular attention will be paid to packaging constraints, thermal implications, cost-benefit
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Vision-Based Corner Trajectory Reconstruction
The objective of this thesis is to reconstruct vehicle trajectories during cornering manoeuvres using wide-view lateral cameras. By applying geometric transformations and image merging techniques, a top-view representation of the driven line will be generated. The system will allow overlaying multiple passes on the same corner to analyse consistency and performance differences, particularly in track
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Vision-Based Tyre Identification and Wear Estimation
This thesis focuses on developing computer vision algorithms capable of extracting tyre-related information from lateral onboard vehicle cameras. By analysing visible tread patterns, the system aims to classify tyre type (e.g., summer, winter, performance) and estimate wear level under real driving conditions. The research will involve image preprocessing, deep learning classification models, robustness evaluation under
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Embedded AI Agents for Adaptive Vehicle Function Control
This thesis investigates the feasibility of replacing traditional rule-based vehicle software with an embedded AI agent capable of managing component-level vehicle functions. Instead of deterministic logic, the AI system would be trained to reproduce expected behaviours of actuators such as wipers, convertible roof systems, lighting, or other basic functions. The research will address training strategies,
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Predictive Simulation of Squeak and Rattle in Automotive Trim Systems
The objective is to review and apply advanced simulation techniques for predicting squeak and rattle phenomena in interior trim components. The research will investigate nonlinear contact modelling, friction-induced vibration, multibody dynamics, and finite element methods. Validation will compare simulation outputs with experimental vibration data. The thesis will be conducted in cooperation with a car manufacturer,
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Carbon-Negative Materials for Automotive Interior Applications
This research aims to identify and evaluate commercially available or near-commercial trim materials with negative carbon impact suitable for automotive interiors. The study will assess mechanical properties, durability, fire safety, cost competitiveness, manufacturability, and lifecycle environmental impact through comparative analysis with traditional materials. The thesis will be carried out in cooperation with a car manufacturer,