Microgrids with integrated renewable energy sources are becoming more and more important in the fast‐changing electrical energy production scenario. An 8 kW wind generator and a 4.5 kW solar photovoltaic system are the two renewable energy sources utilized in the hybrid alternating current (AC) and/or direct current (DC) microgrid architecture in this study. The energy storage component is a 33 Ah battery. An adaptive control technique based on type‐3 fuzzy sliding mode control (T3FSMC) is applied to improve voltage control reliability under changing operating circumstances and external disturbances. Specifically intended for islanded operating circumstances, where stabilizing the DC link voltage is especially important, this intelligent controller provides adaptive resilience without requiring specified limitations for system disturbances. To assist the control design, a comprehensive dynamic model of the microgrid is created, and MATLAB/SIMULINK simulations are used to test the suggested approach. In the context of standalone microgrid operation, the findings demonstrate the T3FSMC approach's better dynamic response and disturbance rejection capacity when compared to benchmark controllers, such as conventional sliding mode control, barrier function‐based adaptive sliding mode control, and proportional integral derivative (PID). Fur- thermore, the proposed method has been able to improve tracking error by 20%, 8%, and 3% compared to PID, sliding mode control (SMC), and barrier function‐based adaptive SMC (BFSMC), respectively
