The increasing incorporation of digital technologies into power networks has raised serious concerns about the susceptibility to cyberattacks. The dependable functioning of DC micro grid clusters is seriously threatened, especially by false data injection assaults. The detection of cyberattacks using bogus data injection in the control systems of several DC micro grid clusters is the focus of this study. To control the micro grid clusters, the current system uses a Proportional-Integral-Derivative (PID) controller in the control block. Nevertheless, conventional controllers such as PID are vulnerable to malevolent manipulations via fake data injection assaults, jeopardizing the micro grid clusters' stability and efficacy. A suggested system is presented in response to this vulnerability, and the control block of the system includes a fuzzy controller. Fuzzy logic controllers are more resistant to cyberattacks because of their resilience and adaptability. By strengthening the system's defenses against false data injection assaults, the integration of the fuzzy controller seeks to improve the cyber-physical security of the DC micro grid clusters. The performance of the suggested fuzzy controller-based system and the current PID-based system are compared in the study both in the presence of simulated fake data injection assaults and under typical operating conditions. In order to demonstrate the benefits of the fuzzy controller in terms of identifying and countering cyberattacks while preserving the intended stability and functionality of the DC micro grid clusters, comparative studies are carried out.