Measurements and Instrumentation
The complexity of the modern engineering laboratory requires students to build an understanding of signal processing, data acquisition, and sampling theory to apply skills to various electrical and mechatronics systems.
Control and Robotics
aiPRO provide technology to help prepare researchers and students for multidisciplinary problems solving in automotive, aerospace, and Internet of Things applications with a project-based approach for controls, sensors, actuators, and mechatronics systems.
Automotive and Electric Vehicle
Mastering the challenges of modern commercial vehicle training - electric and hybrid drives, smart farming, networked systems, hydraulics, engine management, and battery systems
POWER Electronics HIL systems
LEARN THE CLOSE INTERACTION OF MOTORS AND POWER ELECTRONICS HIL
MATLAB enables rapid prototyping of embedded open-loop and closed-loop control systems. System designs can first be investigated using a PC simulation. Then the next step is to apply the design to real hardware and test it. This kind of simulation-based learning is motivating and interesting to students.
It enables drive systems, which are capable of operating in real time, to be programmed and tested using the model-based design methods used in industry.
Training objectives:
- Rapid implementation of user-defined and reconfigurable processor/hardware-in-the-loop HIL systems using automatic generation of code
- Algorithm engineering to bridge the gap between theory and practice
Smart Grid HIL Systems
Training concepts for renewable energies and integration into smart grids, microgrids and HIL.