Adaptive fuzzy-logic state controller for DC–DC step-down converter
Mitja Truntič, Alenka Hren, Miro Milanovič, Miran Rodič · Electrical Engineering · 2017
This paper deals with the implementation of a control algorithm based on a state controller with an adaptation of the state controller gains by using the fuzzy-logic approach. Adjustable state controller gains cause that the static error can be reduced arbitrarily for a system with variable parameters as is the DC–DC step-down converter for power supply systems. Fuzzy sets are tuned offline by a genetic algorithm using fuzzy-logic and a genetic toolbox in MATLAB. Fuzzification and defuzzification algorithms are implemented in real time within a Field Programmable Gate Array circuit. The whole control algorithm is performed within a sampling time of 5.33 $$\upmu $$ μ s. Operation of the controller is verified experimentally.