Model predictive control of nested neutral point clamped (NNPC) converter

Mehdi Narimani, Venkata Yaramasu, Bin Wu, George Cheng, Navid Zargari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Scopus citations


This paper proposes a model predictive control (MPC) strategy for a nested neutral point clamped (NNPC) converter. The NNPC converter is a four-level topology that is very attractive for medium-voltage (MV) applications. This is because it has less number of components in compare to other classic four-level topologies. In this paper, the MPC strategy is developed for the NNPC converter to control output currents and voltages of flying capacitors. First, a discrete-time model of the converters is presented and then all the control objectives are formulated in terms of the switching states. The cost function is defined to express the control goals. The best switching state will be chosen to minimize the cost function and the selected switching state will be applied to the converter during next sampling interval. Performance of the proposed control strategy is investigated in the MATLAB/SIMULINK environment for different operating conditions.

Original languageEnglish (US)
Title of host publication2014 IEEE Energy Conversion Congress and Exposition, ECCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781479956982
StatePublished - Nov 11 2014
Externally publishedYes

Publication series

Name2014 IEEE Energy Conversion Congress and Exposition, ECCE 2014

ASJC Scopus subject areas

  • Fuel Technology
  • Energy Engineering and Power Technology


Dive into the research topics of 'Model predictive control of nested neutral point clamped (NNPC) converter'. Together they form a unique fingerprint.

Cite this