Efficient FPGA-Based Real-Time Implementation of Model Predictive Control for Single-Phase Direct Matrix Converter

Abstract

Finite control set model predictive control (FCS-MPC) is an optimal control strategy that solves user-defined objective functions to determine the best control action for the next time interval. Real-time implementations of model predictive control techniques are quite challenging for certain topologies due to computation complexities. In this paper, key aspects of achieving robust, reliable, and efficient field programmable gate arrays (FPGAs) based model predictive control are presented for single-phase direct matrix topology. The effectiveness of FPGA-based model predictive control is validated experimentally using an ALTERA Cyclone IV FPGA. Experimental results show that an effective load current control performance is obtained by taking advantage of pipelining capability of the FPGA device. The tradeoff between control bandwidth, FPGA resources, and hardware utilization is discussed.

Keywords:

• model predictive control
• digital control
• matrix converter
• FPGA

Additional information

Funding

This work was supported by Karabuk University under grant KBUBAP-17-KP-464.

Notes on contributors

Ozan Gulbudak

Ozan Gulbudak received the B.Sc. and the M.Sc. degree in electrical engineering from Mersin University, Turkey in 2008 and 2010. He received a Ph.D. degree from the University of South Carolina, Columbia, USA in 2016. Since 2017, he has been with Karabuk University, where is currently an Assistant Professor. His research interests include model predictive control, development of control platforms based on FPGA, direct matrix converters, inverter topologies, and motor drives.

Mustafa Gokdag

Mustafa Gokdag Karabuk, Turkey in 1987. He received the B.S. degree with Honor in electrical and electronics engineering from Fırat University, Elazig, in 2009 and the M.S. and Ph.D. degrees in electrical and electronics engineering from Karabuk University, Karabuk, in 2011 and 2016 respectively. From 2009 to 2016, he was a Research Assistant with the department of electrical and electronics engineering at Karabuk University. Since 2016, he has been an Assistant Professor in the same department. His research interests include modeling and control of dc-dc power converters and model predictive control of ac-dc, dc-ac, and ac-ac power converters for renewable and electrical drives.