Active Stabilization of a Microgrid Using Model Free Adaptive Control

At present, almost all the control methods for linear and nonlinear systems are model based. Nowadays, with the developments of technology many industrial processes have been undergone significant changes and process of systems have been more complicated. Hence, modeling these processes with the use of first-principles or identification method becomes more difficult, which leads the MBC theory to be impractical for controlling of these kinds of systems. In this study a data-driven model-free adaptive control (MFAC), is proposed for the multi-input multi-output control design of a, hybrid dc power systems (HDCPSs), system. This proposed MFAC doesn't need any information about system model or parameters and it can be appropriate method for complex systems. The simulation study is carried out through Matlab/Simulink simulation platform and the robustness of this proposed MFAC method has been indicated with simulation results.