Academic Projects

Titled ‘Autonomous Drone Sensor Data Processing and Drone Control,’ this project delves into the complexities of drone control systems, addressing the limitations in current PID-based approaches. Utilising Matlab’s Fuzzy Logic Designer, we adopted an Adaptive Neuro-Fuzzy Inference System (ANFIS) for more effective drone control. Our project demonstrated that the Sugeno Type-1 ANFIS yielded significant improvements in control signal accuracy for Roll, Pitch, Yaw, and Thrust. Moreover, our dual ANFIS-PID controller optimized performance across different flight scenarios, with varying degrees of improvement or trade-offs in time to reach the destination and computational memory usage.

Read the full paper here.

Titled ‘Designing a lap simulator for the Shell Eco-marathon,’ this project focussed on building software that could simulate the performance of UCL Racing’s Shell Eco-Marathon prototype vehicle. Built in MATLAB and Simulink, some aims of the project included: modelling straight line and cornering performance, building a strong tyre model and flexibility in test environments (i.e. model performance at different tracks).

Read the full paper here.

Design Challenge 2021 has tasked first- and second- year university student teams with designing and building a repeatable vehicle which represents the first stages of a robotic vehicle that could be used for materials handling purposes. 

Read my full debrief here.

Part of the MECH0016 module UCL Mechanical Engineering.

Split into four related projects over the course of two terms, Year 2 Scenarios challenged us in groups to think and solve problems as engineers. Taking real world problems and tackling them in a week threw us into the deep end and gave me insight into how engineering problems are approached in real life.

Read all about the projects here.