Feasibility Study of Model Predictive Control for Grid-Connected Twisted Buck-Boost Inverter

Oleksandr Matiushkin, Oleksandr Husev, Jose Rodriguez, Hector Young, Indrek Roasto

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


This paper studies the Model Predictive Control (MPC) for a twisted buck-boost inverter based on unfolding circuit. The focus is on the practical implementation of the MPC algorithm for the microcontroller designed for application in power electronics. Selection of proper cost function parameters along with a continuous control set reduced prediction horizon, at the same time keeping good quality of the grid current. The results showed that simplified differential equations and a multicore microcontroller contribute to the sample time reduction, which in turn increases the sampling frequency with the corresponding increase in the output current quality. The simulation and experimental results confirmed theoretical predictions. In conclusion, the MPC technique suits for reducing zero-crossing distortion and in applications based on unfolding circuit.

Original languageEnglish
Pages (from-to)2488-2499
Number of pages12
JournalIEEE Transactions on Industrial Electronics
Issue number3
Publication statusAccepted/In press - 2021


  • boost
  • buck
  • Capacitors
  • Control systems
  • Inductors
  • inverter
  • Inverters
  • multicore systems
  • power electronics
  • predictive control
  • Pulse width modulation
  • Resistance
  • Transistors

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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