Aerodynamics is vital in fields like aviation, automotive design, and energy systems. This blog offers innovative project ideas for BTech, MTech, and PhD students, helping them explore real-world applications, enhance technical skills, and contribute to cutting-edge research in fluid dynamics and aerodynamic design.
This project uses neural networks for partial differentiation to accurately estimate aerodynamic parameters critical to an aircraft’s lateral and directional stability.
This project applies contraction theory to develop tracking control strategies for Autonomous Underwater Vehicles, ensuring stable, accurate path-following and improved underwater navigation performance.
This project designs a flight control system using reduced order models to manage flexible aircraft structures, improving control accuracy while minimizing computational load compared to full-scale models.
This project employs data fusion from various sensors to calibrate the Airdata System, improving the accuracy and reliability of aircraft measurements like altitude and airspeed through robust, multi-source integration
This project develops a frequency estimator for stochastic signals using Contraction Theory, ensuring convergence and stability for reliable performance in dynamic and uncertain environments.