Abstract

Robust control techniques for power converters are becoming more attractive because they can meet with most demanding control goals like uncertainties. In this sense, the Takagi-Sugeno (T-S) fuzzy controller based on linear matrix inequalities (LMI) is a linear control by intervals that has been relatively unexplored for the output-voltage regulation problem in switching converters. Through this technique it is possible to minimize the disturbance rejection level, satisfying constraints over the decay rate of state variables as well as the control effort. Therefore, it is possible to guarantee, a priori, the stability of the large-signal converters in a broad operation domain. This work presents the design of a fuzzy control synthesis based on a T-S fuzzy model for non-minimum phase dc-dc converters, such as boost and buck-boost. First, starting from the canonical bilinear converters expression, a Takagi-Sugeno (T-S) fuzzy model is obtained, allowing to define the fuzzy controller structure through the parallel distributed compensation technique (PDC). Finally, the fuzzy controller design based on LMIs is solved for the defined specification in close loop through MATLAB toolbox LMI. Simulations and experimental results of a 60 W prototype are presented to verify theoretical predictions.

Highlights

  • IntroductionDC-DC switching converters are one of the most classical power electronics circuits used to adapt non-regulated sources to different load requirements in many applications [1]

  • DC-DC switching converters are one of the most classical power electronics circuits used to adapt non-regulated sources to different load requirements in many applications [1].from telecommunication and computers to renewable energies equipment in which the voltages or currents controls are required, a DC-DC converter is necessary

  • We present two examples of linear matrix inequalities (LMI)-Fuzzy control design applied to the nonminimum phase dc-dc converters for the output voltage regulation problem

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Summary

Introduction

DC-DC switching converters are one of the most classical power electronics circuits used to adapt non-regulated sources to different load requirements in many applications [1]. The works showed the use of simple conditions for LMIs guaranteeing the stability of the system as well as the disturbance rejection for the close-loop control They do not describe any experimental results and only verify the effectiveness of the proposed method through simulations. In [9] it is presented the design of a LMI-based robust control law by state-feedback, but in this case, applied to a non-minimum phase boost converter This control method takes into consideration uncertainties and non-linearities of the converter, which are modeled like a convex polytope.

Takagi-Sugeno Fuzzy Modeling of DC-DC Converters
T-S Fuzzy Model of a Buck-Boost Converter
T-S Fuzzy Model of a Boost Converter
LMI Performance Requeriments for Fuzzy Controllers
Simulations and Experimental Results
LMI-Fuzzy Control of a Buck-Boost Converter
LMI-Fuzzy Control of a Boost Converter
Conclusions
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