Fuzzy Generalized Predictive Control of Power Converter in DC Microgrids with Constant Power Load

Document Type

Conference Proceeding

Publication Date

1-1-2021

Publication Title

21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings

Keywords

Boost Converter, Constant Power Load (CPL), DC microgrid, GPC, Model Predictive Control, TS Fuzzy Model

Abstract

This paper develops a Takagi-Sugeno Generalized Predictive Controller (TS-GPC) to adjust the power converters of a class of direct current (DC) Microgrids (MGs) feed linear resistive loads and nonlinear Constant Power Loads (CPLs). Since the overall DC microgrid has a nonlinear behavior, it is vital to model the behavior of the system with an accurate model and design the control input. In this regard, a Takagi-Sugeno fuzzy model is utilized to model a nonlinear system with multi-linear models accurately; and, a GPC is applied on the multi-linear models based on the obtained model and defined cost function. The numerical results show that the model can predict the behavior of the nonlinear system and the proposed controller can effectively track the desired reference.

DOI

10.1109/EEEIC/ICPSEurope51590.2021.9584692

ISBN

9781665436120

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