Design Principles of Finite Control Set Model Predictive Control for Power Converters by Naki Güler
Joint Webinar with IEEE IES Students and Young Professionals Activity Committee (S&YP)
Tuesday February 22, 2022 5:00 PM TRT (3:00 PM CET, 9:00 AM EST)
By Naki Güler (Gazi University, Turkey)
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Model predictive control (MPC) is one of the prevalent control techniques in controlling power converters. Especially, the finite control set MPC technique is used in controlling the power converters due to the fast dynamic response and excellent reference tracking capabilities. In addition, the control of multiple variables is essential for multilevel or complicated power converters. At this point, the MPC technique offers an effective solution with the multi-objective cost function that contains different control objectives. However, dealing with multiple objectives requires adjusting multiple weighting factors, which can be complicated at times. In addition, the computational burden is increasing depending on the complexity of the power converters.
Therefore, many researchers make an effort for reducing the computational burdens as well as eliminating the weighting factor, nowadays. In this webinar, the design procedure of the finite control set MPC method will be presented along with the selection or eliminating of the weighting factor and reducing the computational burdens.
Naki Guler (Member, IEEE) received the B.Sc., M.Sc., and Ph.D. degrees in electrical–electronic engineering from Gazi University, Ankara, Turkey, in 2010, 2012, and 2019, respectively. He joined the Department of Electricity and Energy, Gazi University, Turkey, in 2012. His current research interests include control and applications of power electronic converters, energy conversion and energy management of renewable sources. He was a recipient of IEEE IES Young Professionals Student Paper Travel Award at 12th CPE-POWERENG in 2018; and best paper awards at the 6th ICRERA and 12th CPE-POWERENG conferences.