Direct model predictive current control strategy of quasi-Z-source inverters

Ayman Ayad, Petros Karamanakos, Ralph Kennel

Research output: Contribution to journalArticlepeer-review

91 Scopus citations

Abstract

This paper presents a direct model predictive current control (MPC) strategy for quasi-Z-source inverters (qZSIs). A discrete-time model is derived that accurately captures all operating modes of the converter. Both sides of the qZSI are controlled simultaneously based on the inductor current and capacitor voltage on the dc side as well as the output current on the ac side. To improve the closed-loop performance of the converter, a long prediction horizon is implemented. However, the underlying optimization problem may become computationally intractable because of the substantial increase in the computational power demands, which in turn would prevent the implementation of the control strategy in real time. To overcome this and to solve the problem in a computationally efficient manner, a branch-and-bound strategy is used along with a move blocking scheme. Simulation and experimental results are provided to verify the effectiveness of the presented control strategy.

Original languageEnglish
Article number7570193
Pages (from-to)5786-5801
Number of pages16
JournalIEEE Transactions on Power Electronics
Volume32
Issue number7
DOIs
StatePublished - Jul 2017

Keywords

  • Branch-and-bound
  • Long prediction horizon
  • Model predictive control (MPC)
  • Move blocking
  • Quasi-Z-source inverter (qZSI)

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