ABB - Motor Parameter Identification
ABB - Motor Parameter Identification
At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. That's our story. Make it your story.
In this role, you will have the opportunity to gain experience in control of electric drives through a temporary work placement (6-8 months). The work model for the role is hybrid.
You will be mainly accountable for:
• Making a review of the state-of-the-art review of classical and machine learning methods for motor parameter identification.
• Developing, implementing and evaluating parameter identification models in MATLAB/Simulink for selected motor type(s).
Qualifications for the role
• Currently pursuing a master’s degree in Electrical Engineering or similar field.
• Good working knowledge of MATLAB and Simulink.
• Interest in the following fields: control theory, power electronics. Familiarity with electrical machines models is beneficial.
• Familiarity with data‑driven methods and fundamentals of machine learning or system identification is an advantage.
• Strong interest in research is desirable.
• Proficiency in English.
• You hold a current valid VISA/work permit for Switzerland or a confirmation for a mandatory internship from your university
More about us
In the R&D team in Turgi, we design and develop high-performance medium voltage power electronic drives for a wide range of power levels, from 5MW to 36MW. These drives are used in various applications, including metals, marine, mining, and oil and gas. Our drive control technology features the breakthrough Model Predictive Pulse Pattern Control (MP3C).
Contact: Gianmario Pellegrino (gianmario.pellegrino@polito.it) and Paolo Pescetto (paolo.pescetto@polito.it)
Please refer to Politecnico contacts before contacting the company.
(154,01 kB)