Evolutionary Tuning of DC-DC Flyback Converter Robust Controller

This work deals with the DC-DC flyback converter control problem against high-level complex requirements. Due to non-linearities of the converter, the complexity of requirements and uncertainties of parameters, evolutionary optimization has been envisaged in this work. Because this optimization technic doesn't need the formulation of gradients of criterion to be optimized, it appears to be well adapted to the industrial framework where requirements are often non-linear and complex. Furthermore, its flexibility of implementation allows temporal complex requirements to be optimized directly in a non-linear framework using some simulation softwares such as Simulink avoiding then some simplifications usually done. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.