Model predictive control of bidirectional isolated DC-DC converter for energy conversion system

Parvez Akter, Muslem Uddin, Saad Mekhilef, Nadia Mei Lin Tan, Hirofumi Akagi

Research output: Journal PublicationArticlepeer-review

36 Citations (Scopus)


Model predictive control (MPC) is a powerful and emerging control algorithm in the field of power converters and energy conversion systems. This paper proposes a model predictive algorithm to control the power flow between the high-voltage and lowvoltage DC buses of a bidirectional isolated full-bridge DC-DC converter. The predictive control algorithm utilises the discrete nature of the power converters and predicts the future nature of the system, which are compared with the references to calculate the cost function. The switching state that minimises the cost function is selected for firing the converter in the next sampling time period. The proposed MPC bidirectional DC-DC converter is simulated with MATLAB/Simulink and further verified with a 2.5 kW experimental configuration. Both the simulation and experimental results confirm that the proposed MPC algorithm of the DC-DC converter reduces reactive power by avoiding the phase shift between primary and secondary sides of the high-frequency transformer and allow power transfer with unity power factor. Finally, an efficiency comparison is performed between the MPC and dualphase-shift-based pulse-width modulation controlled DC-DC converter which ensures the effectiveness of the MPC controller.

Original languageEnglish
Pages (from-to)1407-1427
Number of pages21
JournalInternational Journal of Electronics
Issue number8
Publication statusPublished - 3 Aug 2015
Externally publishedYes


  • Bidirectional DC-DC converter
  • Power conversion system
  • Predictive control
  • Reactive power
  • Unity power factor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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