The DC microgrid is an important form of comprehensive utilization of new energy, but the distributed interface often has strong random disturbance, which brings many problems to the voltage stabilization control of a DC converter. To suppress the adverse effects caused by this uncertainty feature when the controller parameters are fixed as much as possible, this paper proposes a method for setting linear ADRC controller parameters using a deep deterministic policy gradient algorithm (DDPG), and relies on the automatic rejection microgrid control system introduced by introducing intelligent algorithms to realize the adaptive adjustment of controller parameters, so as to realize the stable operation of the microgrid interface converter. Simulation curves are used to compare the performance differences between DDPG-LADRC and traditional LADRC and the double-loop PI controller proposed in this paper in various typical working conditions. The effectiveness of the control strategy proposed in this paper is verified. The robustness analysis results under parameter perturbation combined with the overall analysis of the system under multiple indicators fully reflect the superiority of multi-condition adaptive gain brought by the intelligent adjustment of controller parameters, and have strong engineering value.