Renewable energy technology has led to the widespread adoption of DC microgrids, particularly for their environmental and resilience. DC microgrids offer higher efficiency in applications like electric vehicles and spacecraft due to reduced interface converters and the absence of reactive current. However, they face challenges regulating DC link voltage and ensuring proper current sharing among diverse sources and loads. One major obstacle to these microgrids’ ability to regulate voltage is the existence of nonlinear constant power loads (CPLs). DC microgrid performance can degrade because of constant power load (CPL) dynamics. By using fuzzy-based control strategies, this research suggests a novel way to deal with this problem. The research identifies voltage fluctuations, describes the nonlinear behavior of CPLs in DC microgrids, and develops a fuzzy logic controller to control system voltage under various load scenarios. By utilizing fuzzy sets and linguistic rules, the fuzzy controller efficiently reduces overshoot and responds more quickly than conventional techniques to the voltage fluctuations caused by CPLs. In this paper, a fuzzy controller is suggested to deal with the effects of CPLs during transients. The suggested approach is simulated with a DC microgrid feeding two CPLs. The simulation is done in MATLAB/SIMULINK and the results program that the suggested fuzzy-based controller can stabilize a DC microgrid faster in comparison with the conventional PI controller during transients.