Adaptive Reference Model Predictive Control with Improved Performance for Voltage-Source Inverters

Yun Yang, Siew Chong Tan, Shu Yuen Ron Hui

Research output: Journal article publicationJournal articleAcademic researchpeer-review

30 Citations (Scopus)

Abstract

Power converters under the model predictive control (MPC) inherently suffer from nonignorable steady-state residuals in its control outputs when it exists a mismatch in the parameters between the actual system in control and the system's model adopted in the control. In this brief, an adaptive reference MPC (ARMPC) is proposed in response to this issue. Unlike those conventional derivatives of MPC, the ARMPC is designed to track the so-called virtual references instead of the actual references. The virtual references are generated by a flexibly modeled virtual multiple input multiple output system. Consequently, additional tuning is not required for different operating conditions. ARMPC has been applied to a single-phase full-bridge voltage-source inverter with both resistive and resistive-inductive loads. It is experimentally verified that the proposed ARMPC can significantly attenuate the steady-state offsets in the environment of model mismatch (which is an inherent problem of MPC without significantly sacrifice transient performance). Also, a demonstration that ARMPC renders a consistent attenuation of steady-state errors than the conventional MPC with integrator is provided. More importantly, ARMPC shows better transient performance than the MPC with integrator for some cases.

Original languageEnglish
Article number7864322
Pages (from-to)724-731
Number of pages8
JournalIEEE Transactions on Control Systems Technology
Volume26
Issue number2
DOIs
Publication statusPublished - Mar 2018

Keywords

  • Adaptive reference model predictive control (ARMPC)
  • model predictive control (MPC)
  • MPC with integrator
  • virtual multiple-input multiple-output (MIMO) system
  • virtual references

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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