A model parity study on the model predictive control based sensorless current mode

Morcos Metry, Robert Balog

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

1 Citation (Scopus)

Abstract

Solar energy has become the go-to solution due to its abundance, yet it is unlike many other conventional sources of energy because of its stochastic nature. To maximize the energy harvest of such intermittent source, robust controllers ought to be used. Researchers have accordingly resorted to modern control techniques, predominantly optimal control methods like model predictive control (MPC). Such modern techniques have proven to track references faster and more accurately; however, they do that at the expense of raising computational costs. The MPC framework is used to eliminate the current sensor in previous work; hence, cut down on the hardware cost of the converter. This paper discusses parity of such observer model, presents results and comparisons on the estimation error for the developed model, and explores areas of improvement for the overall system.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538625088
DOIs
Publication statusPublished - 4 Jun 2018
Event12th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018 - Doha, Qatar
Duration: 10 Apr 201812 Apr 2018

Other

Other12th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018
CountryQatar
CityDoha
Period10/4/1812/4/18

Fingerprint

Model predictive control
Error analysis
Solar energy
Costs
Hardware
Controllers
Sensors

Keywords

  • Estimation Error
  • Maximum Power Point Tracking
  • Model Parity
  • Model Predictive Control
  • Photovoltaics
  • Sensorless Current Mode

ASJC Scopus subject areas

  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Metry, M., & Balog, R. (2018). A model parity study on the model predictive control based sensorless current mode. In Proceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018 (pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CPE.2018.8372593

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

Proceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018. 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 model parity study on the model predictive control based sensorless current mode. in Proceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018. Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 12th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018, Doha, Qatar, 10/4/18. https://doi.org/10.1109/CPE.2018.8372593
Metry M, Balog R. A model parity study on the model predictive control based sensorless current mode. In Proceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/CPE.2018.8372593
Metry, Morcos ; Balog, Robert. / A model parity study on the model predictive control based sensorless current mode. Proceedings - 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
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