Designing fuzzy logic controllers for DC–DC converters using multi-objective particle swarm optimization

• Designing fuzzy logic controllers.
• DC–DC power converter regulation during load transients.
• Robustness against the aging process of the converter passive components.
• Multi-objective particle swarm optimization (MO-PSO) for fuzzy control design.
• Laboratory tests on a buck converter prototype.

This paper proposes a new method for designing fuzzy logic controllers for voltage-regulated DC–DC power converters. Low sensitivity to input voltage variations, fast regulation during load transients and robustness against the aging process of the converter passive components are the main features achievable through the proposed approach. The multi-objective particle swarm optimization (MO-PSO) is used to find multiple Pareto-optimal solutions in a multi-objective optimization problem for the identification of the best possible membership functions and rules of the fuzzy controller. In order to evaluate the effectiveness of the proposed technique, different cases have been tested in laboratory on a buck converter prototype, considering deep input voltage deviations and big load transients, as well as variations in the nominal values of the passive components of the system. A comparison with a classical proportional-integral (PI) controller demonstrates the high performances of the proposed technique in terms of effective output voltage regulation under different operating conditions.