A parameter mismatch study on model predictive control based sensorless current mode

Morcos Metry, Robert Balog

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

1 Citation (Scopus)

Abstract

While solar energy is accepted as an abundant source of energy, it is stochastic in nature, unlike many other conventional sources of energy. This intermittency requires robust controllers that allow for maximized energy harvest. A general trend to improving controller design is to consider modern control techniques, particularly optimal control methods like model predictive control (MPC). While these techniques offer faster and more accurate reference tracking, they also add to the complexity of the system and could possibly reduce its window of stability. This paper is comprised of further analyses of the previously proposed sensorless current mode (SCM) controller for the photovoltaic maximum power point tracker (MPPT) based on MPC. Through a variety of parameter mismatch and sensitivity studies, a better perspective on the stability and efficacy of the proposed control method is presented.

Original languageEnglish
Title of host publication2018 IEEE Texas Power and Energy Conference, TPEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2018-February
ISBN (Electronic)9781538610060
DOIs
Publication statusPublished - 9 Mar 2018
Event2nd IEEE Texas Power and Energy Conference, TPEC 2018 - College Station, United States
Duration: 8 Feb 20189 Feb 2018

Other

Other2nd IEEE Texas Power and Energy Conference, TPEC 2018
CountryUnited States
CityCollege Station
Period8/2/189/2/18

Fingerprint

Model predictive control
Controllers
Solar energy

Keywords

  • Maximum Power Point Tracking
  • Model Predictive Control
  • Parameter Mismatch
  • Photovoltaics
  • Sensitivity Analysis
  • Sensorless Current Mode

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

Cite this

Metry, M., & Balog, R. (2018). A parameter mismatch study on model predictive control based sensorless current mode. In 2018 IEEE Texas Power and Energy Conference, TPEC 2018 (Vol. 2018-February, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TPEC.2018.8312065

A parameter mismatch study on model predictive control based sensorless current mode. / Metry, Morcos; Balog, Robert.

2018 IEEE Texas Power and Energy Conference, TPEC 2018. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

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

Metry, M & Balog, R 2018, A parameter mismatch study on model predictive control based sensorless current mode. in 2018 IEEE Texas Power and Energy Conference, TPEC 2018. vol. 2018-February, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 2nd IEEE Texas Power and Energy Conference, TPEC 2018, College Station, United States, 8/2/18. https://doi.org/10.1109/TPEC.2018.8312065
Metry M, Balog R. A parameter mismatch study on model predictive control based sensorless current mode. In 2018 IEEE Texas Power and Energy Conference, TPEC 2018. Vol. 2018-February. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/TPEC.2018.8312065
Metry, Morcos ; Balog, Robert. / A parameter mismatch study on model predictive control based sensorless current mode. 2018 IEEE Texas Power and Energy Conference, TPEC 2018. Vol. 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
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