Robust Model Predictive Control of DC-DC Floating Interleaved Boost Converter under Uncertainty

Abstract

DC-DC Floating Interleaved Boost Converter (FIBC) is a new converter commonly used for converting the low level voltage generated by a renewable energy source to a high-level voltage required for AC inverters. Although a desired voltage is expected at the output, designing a proper voltage gain for FIBC is challenging due to different types of uncertainties. For instance, the voltage generated by the renewable energy source may be affected by a variety of parameters including external load. The input voltage of the FIBC is, therefore, uncertain. In addition, the physical elements of a boost converter are also uncertain. Their value may vary from one product to another within a given range. This results in an uncertain voltage gain for a fixed switching duty cycle. In this work, the robust control of this boost converter under uncertain conditions is studied. Specifically, a Robust Model Predictive Control (RMPC) is employed for this purpose. The designed controller is able to keep the output voltage at the desired level despite the uncertainties.