Projects
Projects
This page highlights selected academic and applied projects in control systems, machine learning, and energy and vehicle applications, ranging from experimental engine diagnostics to nonlinear control design.
Fault Diagnosis of Internal Combustion Engines
This project focuses on functional analysis and fault diagnosis of internal combustion engines during hot testing. Both internal faults (e.g., spark plug gap variations that are not externally observable) and external system-level faults (e.g., cylinder power imbalance) are studied using sensor data and comparative analysis across cylinders.
Key topics: engine diagnostics, sensor-based fault detection, cylinder balancing
Water Detection in a Transparent Fuel Cell Using Deep Neural Networks
Accurate measurement of water coverage inside fuel cells is challenging due to the lack of direct sensing methods and the absence of explicit water dynamics in standard physical models. In this project, deep neural networks are used to estimate water coverage in a transparent fuel cell, enabling improved efficiency and extended service life.
Key topics: deep learning, fuel cell diagnostics, data-driven modeling
Parallel Parking Training Using Haptic Assist Torque in a Driving Simulator
This project investigates the use of haptic assist torque applied to a steering wheel to support novice drivers during parallel parking maneuvers. The level of assistance is gradually reduced over time, encouraging increased driver engagement and skill acquisition.
Key topics: haptics, driver assistance systems, human–machine interaction
Design, Control, and Analysis of an Inverted Pendulum
Design and control of a single-degree-of-freedom inverted pendulum system using PID control. An IMU sensor is used for state measurement, and controller performance is evaluated through stabilization and disturbance rejection experiments.
Key topics: classical control, inverted pendulum, embedded sensing
Modeling and Control of a Quadcopter Using MATLAB and Arduino
This project involves model-based control design for a quadcopter platform using MATLAB for system modeling and controller synthesis, and Arduino for real-time implementation and testing.
Key topics: multivariable systems, MATLAB-based control design, embedded control
Simulation and Modeling of Nonlinear Dynamical Systems
Simulation and modeling of nonlinear dynamical systems using analytical dynamics approaches, including Lagrange, modified Lagrange, augmented, elimination, embedding, and Greenwood methods. This work was carried out as part of an advanced course in analytical dynamics.
Key topics: nonlinear dynamics, analytical modeling, simulation
Control of PEM Fuel Cells Using Nonlinear and Fuzzy Controllers
Development and comparison of multiple control strategies for PEM fuel cells, including sliding mode control, feedback linearization, gain scheduling, and PID control, with the objective of improving performance and extending service life. Advanced approaches such as fuzzy PID, fuzzy sliding mode control, and hybrid heuristic / metaheuristic optimization techniques were also explored.
Key topics: nonlinear control, fuzzy control, fuel cell systems