To tackle the limitations of both centralized and decentralized secondary control techniques, a distributed secondary control approach was proposed by the authors in [10; 26; 27; 28; 29; 30; 31; 32]. In reference [26], a novel approach to distributed power control for converters within a standalone microgrid was presented. The main goal of this approach is to enable efficient power sharing between interconnected converters and DERs. In reference [27], a distributed secondary controller for an autonomous microgrid was devised; this controller utilizes a data-driven multi-agent framework to regulate voltage and achieve effective current sharing within the microgrid. In reference [28], a distributed non-linear sliding mode control technique that focuses on achieving power balance in microgrids was used; this technique considers the variabilities in DC power generation. Moreover, ref. [29] proposed a distributed secondary cooperative control approach that utilizes a consensus protocol to ensure the maintenance of voltage profiles in a standalone DC microgrid composed of hybrid energy storage systems and variable renewable energy sources. In reference [30], a distributed-based controller was introduced to achieve voltage control and accurate current distribution in parallel-connected DC-DC converters. The proposed secondary control technique offers the advantage of not relying on the number of active loads or the load profile. In reference [31], voltage restorations and current distribution in DC microgrid were addressed by a distributed secondary controller built on consensus protocol. This technique utilizes two proportional-integral controllers, one assigned to voltage recovery and the other focused on current sharing. The output signals from these controllers serve as adjustment signals and are transmitted to the respective local controllers. In reference [32], a distributed secondary control approach of integral type was introduced; this approach aims to enable voltage restoration and balanced current distribution within a standalone DC microgrid. In reference [10], a novel flight-based artificial bee colony algorithm was utilized to select the parameters of an integral-type distributed secondary controller to mitigate voltage deviation and current distribution in a standalone direct current microgrid. The distributed control schemes presented in the aforementioned reviews rely on traditional linear-controlled techniques. Fuzzy logic systems, as a non-linear control system, have emerged as a viable alternative approach to tackling control challenges in modern power grids, including DC microgrids. This alternative offers the potential for more robust and effective solutions [33]. Hence, this article presents an innovative and collaborative distributed secondary control strategy designed for a standalone direct current MG comprising two integral-type candidate controllers and a fuzzy logic controller. This strategy aims to accomplish two objectives concurrently: regulating the DC voltage at the common bus to its rated operating value and achieving balanced current sharing among the various components of the microgrid. A bus voltage feedback system is utilized by the first controller to regulate voltage, while a balanced current feedback system is employed by the second controller to manage the current distribution within the microgrid. To enhance the adaptability and robustness of this secondary distributed control, a fuzzy logic controller is implemented to dynamically determine the controller coefficients depending on the magnitudes of the current and voltage errors. For each converter, the secondary controller transmits control signals to the primary controller to compensate for any deviations due to droop. Utilizing a communication network that enables interaction among neighboring controllers, the proposed secondary control strategy successfully achieves a consensus output resembling centralized control. The Lyapunov analysis is utilized to provide adequate stability conditions for the proposed controller.