Background and activities

Aravinda Perera was born in 1984 in Colombo, Sri Lanka. He obtained the B.Sc. Engineering (Honours) Degree from the University of Moratuwa and M.Sc. Engineering Degree from Norwegian University of Science and Technology (NTNU) in 2009 and 2012 respectively, both in electrical engineering. 

Presently, he is reading a Ph.D. degree in NTNU in the field of power electronics. Prior to that, Aravinda has worked in the industry for nearly 10 years. From 2012 to 2018 he was employed by Siemens AS, Norway where he was involved in several R&D projects related to marine and subsea applications.

Aravinda has authored several patents and international conference articles. His research interests include wide-band-gap devices, electric drives, control, and estimation methods, and embedded control implementation methods.

Ph.D. Research


Main supervisor: Professor Roy Nilsen
Research group: PESC
Ph.D. duration: May 2018 - August 2022
Teaching duties: ELK21, Digital control platform development for TET4120


Short Summary of Research

Click here for the long summary of the research and search my name in the pdf.

Background and Motivation

Deep-sea mineral mining is an extremely demanding application that requires electric drives for the seabed mining machines with high reliability, power density and efficiency. In looking at the relevant seabed environments and the nature of certain loads, the electric motors will encounter varying temperatures and stall-torque scenarios. 

Research Directions

A 6-phase interior permanent magnet synchronous machine (IPMSM) with isolated star-points to ensure redundancy is investigated under the following research directions;

  • Temperature-sensitive parameter tracking online
  • Adaptive torque-control
  • Shaft sensor-less rotor position estimation across the full speed range

Proof of Concept

The concepts are to be proven with a laboratory-scale  6-phase IPMSM drive. Si IGBT based, two sets of 2-level, 3-phase PWM-inverters shall be used in the prototype. The embedded real-time simulator (ERTS) as shown in the figure is developed which contains dynamic models of the hardware in the FPGA and the control and estimation algorithms in the on-chip processor. ERTS can also be used to validate the concepts.



Scientific, academic and artistic work

Displaying a selection of activities. See all publications in the database




  • Perera, Aravinda; Nilsen, Roy. (2018) Electric motor drive system for highly reliable and productive mining machines for deep-sea. Underwater Mining Conference . International Marine Minerals Society (IMMS); Bergen. 2018-09-10 - 2018-09-14.