Mondragon University acquired a Campus-Wide License, providing all students and faculty with campus-wide access to MATLAB and Simulink and enabling the engineering faculty to integrate the tools throughout the curriculum.
一年级本科学生工程开始n using MATLAB and Simulink in programming and other core courses. In mathematics classes they use MATLAB, Symbolic Math Toolbox™, and the MuPAD engine to complete assignments on integrals, ordinary differential equations, and Fourier series.
In class assignments and final projects in their second year and beyond, the students use MATLAB and Simulink to model and simulate systems. For example, third-year electronics engineering students use Simulink to develop and verify a control system for a small mobile robot.
Graduate students use MATLAB and Simulink for Model-Based Design extensively. Students pursuing a master’s degree in power electronics and energy, for example, design and implement an advanced control system for a vertical-axis wind turbine.
For this project, teams of four or five students use MATLAB to analyze and characterize the dynamics of a real turbine operating in the lab. Based on this analysis, they develop a full system model in Simulink that includes turbine, generator, rectifier, converter, and battery components.
Working in Simulink, the teams design and model a control system that uses maximum power point tracking algorithms to optimize power generation for various wind speeds.
After tuning and verifying their design through simulation, the teams use Simulink Coder™ to generate C code from their controller model and deploy it to dSPACE®hardware for real-time testing with the turbine.
The teams analyze and visualize the test results in MATLAB and refine their controller designs based on this analysis.
Doctoral students at the university use MATLAB and Simulink to analyze, model, and simulate cybernetic, telecommunications, and embedded systems in their research. Years of experience working in close collaboration with industry have demonstrated to the faculty that models tested and verified with MATLAB and Simulink accurately reproduce the behavior and performance of the final real product, facilitating validation processes and reducing their cost.