Danijel Pavković received his B.Sc. and M.Sc. degrees in Electrical Engineering in 1998 and 2003, respectively, and received his Ph.D. in Mechanical Engineering in 2007, all from the University of Zagreb, Croatia. Currently, he holds the position of Full Professor at the Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, teaching subjects in the field of electrical engineering, electronics, microcontrollers, and power electronics systems. He participated in over 20 research and technology projects supported by the Ministry of Science of the Republic of Croatia, the Croatian Science Foundation, Ford Motor Company, Jaguar Cars Ltd., CROSCO Integrated Drilling & Well Services Company, and the European Commission (FP7 and Horizon 2020). His research interests include the estimation and control of electrical servo drive systems with automotive and oil-drilling applications; mechatronics systems; adaptive and optimal control; and energy storage systems modeling, estimation, and control.
Research Keywords & Expertise
Batteries
UAV
Hybrid Drives
Ultracapacitors
Electrical Drives
microgrid control
DC/DC Power Converters
oil and gas drilling
Short Biography
Danijel Pavković received his B.Sc. and M.Sc. degrees in Electrical Engineering in 1998 and 2003, respectively, and received his Ph.D. in Mechanical Engineering in 2007, all from the University of Zagreb, Croatia. Currently, he holds the position of Full Professor at the Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, teaching subjects in the field of electrical engineering, electronics, microcontrollers, and power electronics systems. He participated in over 20 research and technology projects supported by the Ministry of Science of the Republic of Croatia, the Croatian Science Foundation, Ford Motor Company, Jaguar Cars Ltd., CROSCO Integrated Drilling & Well Services Company, and the European Commission (FP7 and Horizon 2020). His research interests include the estimation and control of electrical servo drive systems with automotive and oil-drilling applications; mechatronics systems; adaptive and optimal control; and energy storage systems modeling, estimation, and control.