المجلة الدولية للعلوم والتقنية

The aim of this paper is to design an efficient compensator for the boost-flyback converter system operates in a continuous conduction mode. The small signal of the boost-flyback is derived first to find transfer functions which they help in the study of the system stability. Genetic algorithm is used to search in the parameter space for the most suitable controllers’ parameters to minimize the damping of oscillation modes, to coordinate between system different controllers. . In order to do this, on-line measurements of local system signals at converter are chosen as input signals to an adaptive neuro-fuzzy inference system (ANFIS). The outputs of each neuro-fuzzy controller are the desired parameters of system damping controllers. The simulation of the system is done using the MATLAB programming language.