Auto-tuned model parameters in predictive control of power electronics converters

Mitchell Easley, Amin Y. Fard, Fariba Fateh, Mohammad B. Shadmand, Haitham Abu-Rub

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

2 Citations (Scopus)

Abstract

Model predictive controlled (MPC) power electronics converters (PECs) features numerous benefits including fast transient response, multi-objective control in single-loop, and inclusion of constraints and nonlinearities in a simple manner. However, the control approach requires the accurate knowledge of the model parameters of the system. Potential model parameter mismatches with the actual values will result in performance deterioration of the MPC. Various agents like aging and harsh environmental conditions would yield changes in circuit impedance. This paper proposes an autonomous MPC for PECs subject to the variations and uncertainties in input filter impedance. The proposed controller adaptively tunes the model parameters used in the predictive equations, alleviating mismatch among the predictive model parameters and the actual system. The proposed auto-tuned modeling scheme requires no additional sensors while maintaining the simplicity of the controller. The proposed method is applicable to all types of PECs and filter topologies. The theoretical analysis and results demonstrate that the proposed approach embedded in the MPC makes the control algorithm robust to variations of model parameters of the system.

Original languageEnglish
Title of host publication2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3703-3709
Number of pages7
ISBN (Electronic)9781728103952
DOIs
Publication statusPublished - Sep 2019
Event11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019 - Baltimore, United States
Duration: 29 Sep 20193 Oct 2019

Publication series

Name2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019

Conference

Conference11th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2019
CountryUnited States
CityBaltimore
Period29/9/193/10/19

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Keywords

  • Adaptive control
  • Autonomous predictive control
  • Model parameter mismatch
  • Model predictive control

ASJC Scopus subject areas

  • Mechanical Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Easley, M., Fard, A. Y., Fateh, F., Shadmand, M. B., & Abu-Rub, H. (2019). Auto-tuned model parameters in predictive control of power electronics converters. In 2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019 (pp. 3703-3709). [8912881] (2019 IEEE Energy Conversion Congress and Exposition, ECCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2019.8912881