Enhanced average current-mode control for DC-DC converters based on an optimized fuzzy logic controller
Location: Canada
Publication date: 2012-10-28
Published in: Annual Conference of the IEEE Industrial Electronics Society 2012, Montreal (Canada) - IECON 2012
ref. DOI: 10.1109/IECON.2012.6388790

Local members

Alvaro Luna

PhD. Senior Researcher.

Kumars Rouzbehi

Junior Researcher

External members

Marianian, A.



This paper proposes a novel optimized fuzzy logic controller (OFLC) for current-mode control (CMC)-based voltage regulation in DC-DC converters. The implementation of the proposed fuzzy logic controller (FLC) does not depend on the mathematical model of the converter and only requires knowledge about its operation modes. The fast and efficient algorithm of particle swarm optimization (PSO) has been employed to enhance the performance of the FLC by fine tuning its membership functions. The reference current for the current control loop has been obtained in the outer voltage loop by measuring load current and output voltage and calculating the load resistive impedance. The proposed OFLC has been used in four different case studies for evaluating its performance under different conditions of input voltage and load variations as well as variations in the system parameters, e.g. inductance and capacitance of the converter circuit. The results of simulations and comparison to a proportional-integral (PI) controller demonstrates the fast and robust performance of the proposed controller, able to effectively regulate the output voltage in presence of high perturbations in the input voltage and high variation of the converter components nominal values.


Associated projects

National public