Competition Winners - MATLAB & Simulink

Competition and Hackathon Winners

Aspiring engineers and scientists worldwide are winning competitions using MATLAB and Simulink—building technical skills and gaining valuable experience. Take a look at recent champions and their projects and be inspired to enter, compete, and possibly even take home a top prize.

Global Competitions

​​Automotive

Politecnico di Milano

1st Place – Passing competition at Indianapolis Motor Speedway – September 2024: Indy Autonomous Challenge 2024

PoliMOVE Autonomous racing team, part of the MOVE Research Group at Politecnico di Milano led by Prof. Sergio Matteo Savaresi, has been a leader in the Indy Autonomous Challenge since 2020. With three world records and over ten victories, the team partnered with Michigan State University in 2023, becoming PoliMOVE-MSU. In September 2024, PoliMOVE achieved a historic victory in the Passing Competition at the Indianapolis Motor Speedway.

MATLAB and Simulink are vital to our success, enabling track data analysis, localization algorithm prototyping, and vehicle dynamics control design, including steering, throttle, and braking strategies. Simulink’s code generation ensures seamless integration of algorithms into real-time systems, driving our advancements in high-speed autonomous racing.

​Finance​​

Shanghai University of Finance and Economics

1st Place and MATLAB Innovation Award: China Graduate Financial Data Modeling Contest 2024

Utilizing MATLAB's powerful matrix and numerical computation capabilities, Team 2024003 from the Shanghai University of Finance and Economics processed tens of millions of funds and stock data points, developed innovative stock investment strategies based on information about fund heavyweight stocks, and evaluated the performance of these strategies through backtesting.

​​Aerospace​

University of Bologna

1st place: Airbus Sloshing Rocket Workshop 2024

A Simulink model was implemented to simulate the flight dynamics of the aircraft, with the objective of optimizing range and flight time during the rocket's gliding phase. A PID controller was designed and integrated into the model to control the elevator pitch angle to achieve this goal.

Furthermore, MATLAB was used to analyze the resonance frequencies of the sloshing phenomenon caused by the partially filled tank, which was essential for the subsequent CFD simulation.

​​Aerospace​

KLE Technological University

2nd Runner up: SAEINDIA AeroTHON 2024

The team developed a PID Controller and optimized values for the motors of drone through extensive testing. Using MATLAB and Simulink models, we fine-tuned these values to achieve enhanced stability and performance in Roll, Pitch, and Yaw control. By iteratively adjusting the proportional, integral, and derivative parameters, we ensured smoother dynamic response and greater precision.

Programming and Math

King Mongkut's Institute of Technology Ladkrabang

1st Place – Granted Her Royal Highness Princess Maha Chakri Sirindhorn's Trophy: TESA Top Gun Rally 2024

The Resonance team used MATLAB for advanced signal processing, including FFT analysis, and machine learning to train and implement a Random Forest Classifier for fault detection. Simulink facilitated the real-time modeling and integration of algorithms into Raspberry Pi for efficient edge computation, ensuring accuracy and rapid response in detecting machine anomalies.

​​Robotics

Ritsumeikan University

1st place: RoboCup Soccer Small Size League Division B - 2024

The Ri-one team utilized a Kalman filter in the SSL league to eliminate noise from the raw data, thereby improving the accuracy of their simulations. As a result, the team resolved issues such as the sudden loss of coordinate data received by the robots and unstable behavior during stops, significantly contributing to the team's victory.