A Parameter Mismatch Study on Model Predictive Control Based Sensorless Current Mode Conference Paper

abstract

• 2018 IEEE. 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.

name of conference

• 2018 IEEE Texas Power and Energy Conference (TPEC)

authors

• Balog, Robert

published proceedings

• 2018 IEEE TEXAS POWER AND ENERGY CONFERENCE (TPEC)

author list (cited authors)

• Metry, M., & Balog, R. S.

citation count

• 4

complete list of authors

• Metry, Morcos||Balog, Robert S

publication date

• February 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

keywords

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

Digital Object Identifier (DOI)

• 10.1109/tpec.2018.8312065

International Standard Book Number (ISBN) 13

• 9781538610060

start page

• 1

end page

• 6

volume

• 2018-February

URL

• http://dx.doi.org/10.1109/tpec.2018.8312065

user-defined tag

• 7 Affordable and Clean Energy